Uvik Software

BACKGROUND

Please describe your company and position.

I am the Marketing Manager of WEZOM

Describe what your company does in a single sentence.

WEZOM is a US-based IT consulting and software engineering company with offices in Chicago and Miami, backed by 26+ years of experience and a team of 280+ engineers. We help mid-market businesses modernize legacy systems, build custom software, and integrate AI — we don't write recommendations, we write code and deploy solutions that work in production.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to strengthen our data engineering capacity for a data platform supporting several software and AI initiatives.
• Our main objective was to consolidate data coming from multiple product databases, third-party APIs, and client systems into a scalable data platform that could support analytics, reporting, and AI workloads. We also wanted to reduce the amount of manual data preparation required by our engineering and AI teams and make new datasets available significantly faster.

SOLUTION

How did you find Uvik Software?

Social networks

Why did you select Uvik Software over others?

Strong expertise

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The engagement focused on building and improving the data foundation behind several of our software and AI solutions.

Uvik Software's Data Engineers first reviewed our existing data flows and identified bottlenecks caused by fragmented data sources and manual transformation processes. They then helped design a centralized architecture based on Azure Data Lake, Azure Databricks, Delta Lake, Python, and PySpark. 

The team developed ingestion pipelines connecting relational databases, APIs, and external client systems. They implemented reusable transformation layers, incremental data processing, automated validation, schema controls, and monitoring.

A particularly important part of the project was preparing standardized datasets that could be consumed by both analytics applications and AI/ML workflows. Previously, engineers often had to prepare this information separately for individual projects.

Key deliverables included: a centralized cloud data architecture; automated ingestion pipelines for 50+ data sources; reusable Python/PySpark transformation pipelines; Delta Lake data models for analytics and AI workloads; automated data-quality and validation checks; monitoring and alerting for production pipelines; CI/CD processes for data engineering deployments; production-ready datasets for several AI and analytics use cases.

The Uvik engineers worked directly with our internal developers and AI specialists rather than operating as an isolated external team.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project produced measurable improvements in both engineering productivity and data availability.

Over the course of the engagement: onboarding a new data source decreased from approximately 7 to 2 days; data preparation time for analytics and AI initiatives was reduced by approximately 60%; processing time for one of our largest recurring datasets decreased by approximately 70%; more than [25] data sources were integrated into the new platform; over [150 million] records per day could be processed through the new pipelines; automated validation reduced data-related incidents reaching downstream applications by approximately 75%; the time required to prepare a production-ready dataset for a new AI use case decreased from approximately 2 weeks to 3–4 days.

The biggest business impact was that our application and AI teams no longer had to spend a significant portion of each project manually collecting and restructuring data. They could start working with standardized, validated datasets much earlier.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

The Uvik Software engineers integrated directly into our existing delivery process and worked alongside our software and AI teams.

We managed the work through our regular sprint planning, backlog, code review, and release processes, so there was no separate vendor-management overhead. They communicated clearly about dependencies and technical risks and were proactive when requirements changed.

The agreed deliverables were consistently completed within the expected sprint timelines. When priorities changed, the engineers were flexible and could move between data integrations, platform work, and AI-related data requirements without slowing down the project.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What impressed us most was that their Data Engineers understood the relationship between data engineering, software products, and AI.

They were not limited to implementing pipelines from specifications. They challenged parts of the original design, created reusable components, and thought about how the same data foundation could support multiple future products and AI use cases.

This significantly reduced duplicated engineering effort on our side. Their ability to operate independently while still working naturally with our internal teams was another major advantage.

Are there any areas for improvement or something Uvik Software could have done differently?

There were no significant issues with the engagement.

If we had to identify one improvement, we could have aligned our internal data ownership and naming standards earlier in the project. During the first stage, this required several additional discussions between our teams. Once those conventions were documented, the collaboration was very smooth.

BACKGROUND

Please describe your company and position.

I am the Head of Media Buying of CreoWin

Describe what your company does in a single sentence.

CreoWin produces advertising creatives for media-buying teams, including motion videos, static banners, UGC content, localized adaptations, and product interface designs

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• Combine advertising and conversion data that was spread across several platforms and spreadsheets
• Connect each creative asset with its results by campaign, GEO, format, and offer
• Automate recurring reports so our team could identify strong and weak creatives faster

SOLUTION

How did you find Uvik Software?

Referral

Why did you select Uvik Software over others?

• Good value for cost
• Company values aligned

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Before Uvik, every media buyer basically ran their own version of reporting — names didn't match, creatives had no stable ID, and the same number could look different depending on whose spreadsheet you opened.

They didn't start with a dashboard. First two weeks just went into figuring out how campaigns, creatives, GEOs, and funnel events should be identified across the board.

Then they built it out: connectors pulling in the data, Airflow running it on schedule, everything landing in a BigQuery warehouse, dbt cleaning and matching it, a FastAPI service linking creatives to performance, checks catching bad data automatically, and dashboards for spend, clicks, registrations, deposits, retention.

But honestly, the thing that fixed the most? A stable ID that followed each creative from production to launch. Small change, huge cleanup.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Weekly reporting now takes around two to three hours instead of most of a working day. Data is refreshed several times throughout the day, so the team no longer has to wait until the following morning to review campaign performance.

The share of advertising spend connected to a specific creative increased from roughly 63% to around 80%. We also reduced the number of duplicate and incorrectly named campaign records by approximately 30%.

The improvement was gradual rather than immediate, but the reporting process is now more consistent. Our team still checks the data manually, though it spends much less time combining spreadsheets and resolving differences between sources. 

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Uvik’s engineers worked directly with our operations and media-buying leads. We used Linear for the backlog, GitHub for technical work, and Telegram for quick operational questions. Every second week, they demonstrated a working part of the pipeline using current data rather than a separate demo dataset.

The project stayed within the agreed schedule. A connector for one external platform required more investigation because its API returned historical corrections differently from the documentation. Uvik isolated that source instead of delaying the rest of the pipeline and completed it in the following sprint. 

Questions were usually answered the same day. More importantly, their engineers were comfortable speaking directly with nontechnical team members when they needed to understand how a metric was actually used.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

Instead of building attractive dashboards on top of unreliable campaign names, they created validation rules, a quarantine process for unmatched records, and a clear way for our team to correct problems without asking a developer.

One of their data engineers joined a reporting session with our media buyers and watched where people stopped trusting the numbers. That conversation led to several changes in the matching logic that we would not have captured in a normal technical ticket.

Are there any areas for improvement or something Uvik Software could have done differently?

The first dashboard contained too much technical detail for daily use. It was useful for the analysts but overwhelming for media buyers who mainly needed to know what had changed and where action was required. After two feedback sessions, Uvik Software split it into a simpler operational view and a more detailed analytical view.

BACKGROUND

Please describe your company and position.

I am the Technical Project Manager of SoftWin

Describe what your company does in a single sentence.

SoftWin is a web development company that creates corporate websites, ecommerce platforms, and custom web and mobile applications for businesses

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• Clear a growing backlog of Python backend issues without slowing down our internal development team
• Improve API performance and make background data-processing jobs more reliable
• Add experienced Python engineers to the project and keep the client’s release on schedule

SOLUTION

How did you find Uvik Software?

Online Search

Why did you select Uvik Software over others?

• High ratings
• Good value for cost

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

We brought in Uvik Software because our backend backlog kept growing while our own developers had to stay focused on new client features. A few issues had been sitting untouched for several sprints — slow API endpoints, background jobs that would occasionally fail on larger data loads.

Their engineers just joined our existing workflow and worked alongside our team, not around it. They went through the Python and Django codebase, looked at the PostgreSQL queries, dug into the logs, and helped us figure out what actually needed fixing first.

From there, they optimized the slow endpoints, tracked down what was causing the data-processing failures, cleaned up database queries, updated a few third-party integrations, and added tests around the backend flows that mattered most. They also stuck around for code reviews and the final release, not just the initial fixes. By the end, we had a noticeably more stable backend, faster APIs, far fewer failed jobs, and code our own developers could actually maintain going forward.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Within the first eight weeks, Uvik helped us close 28 high-priority backend tasks that had been carried over from previous sprints. One API endpoint that regularly took more than 3.5 seconds to respond was brought down to around 1.1 seconds without adding new infrastructure.

Failed background jobs decreased by roughly 60%, and the number of backend-related support tickets dropped by about a third during the following two months. Most importantly for us, the client release stayed on schedule while our internal developers continued working on the planned product features. 

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Uvik Software worked within the process we already had, so we did not need to create a separate management layer for them. Tasks were tracked in Jira, code was reviewed through GitHub, and most day-to-day questions were handled in Slack. We also had two short calls each week to review priorities and blockers.

They were reliable with deadlines and gave us useful updates rather than generic progress reports. When one legacy reporting task turned out to be larger than expected, they explained what they had found, revised the estimate, and helped us move another task forward while the investigation continued. It did not affect the release date. 

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What we appreciated most was that we could give them a problem in the state it actually existed. Sometimes there was a detailed Jira ticket, but other times we only had a log, a short developer note, or a message from the client saying that something felt slow. They did not send everything back asking for more documentation. They reviewed the code with us, asked the right questions, and got to work.

For example, we assumed one slow endpoint needed caching. Their engineer traced the issue to the same PostgreSQL queries being called several times during a single request. He changed the data-access logic and added a regression test, which solved the problem without introducing another system for us to maintain. 

Are there any areas for improvement or something Uvik Software could have done differently?

There weren't any real problems. If we had to point to one thing, it'd be that estimates for tasks touching older parts of the codebase could've had a wider range from the start. One reporting module ended up taking longer than expected, once the team realized how much undocumented logic was buried in it. They were upfront about it right away and adjusted the plan without pushing back the release, so really it was more of an estimation hiccup than anything wrong with the actual work.

BACKGROUND

Please describe your company and position.

I am the SEO Specialist of a digital asset management company.

Describe what your company does in a single sentence.

We provide a cloud-based Digital Asset Management (DAM) platform that helps teams centralize, organize, and share media assets seamlessly.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to strengthen the data engineering capacity behind our digital asset management platform. As our customers’ media libraries became larger, we needed to improve how our solution imports, processes, synchronizes, and indexes digital assets and their metadata from Google Drive and Amazon S3. Our main objectives were to: Reduce the time required to onboard large asset libraries. Minimize delays between changes in source storage and their appearance in our platform. Improve data consistency between customer storage, our metadata database, and the search index. Make synchronization pipelines more resilient to API limits, duplicate events, interrupted jobs, and inconsistent metadata. Support continued platform growth without proportionally increasing infrastructure costs or operational workload.

SOLUTION

How did you find Uvik Software?

Social Networks

Why did you select Uvik Software over others?

• High ratings
• Relevant Experience

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software’s engineers worked on the data infrastructure responsible for processing and synchronizing digital assets and metadata from customers’ Google Drive folders and Amazon S3 buckets. They started by reviewing the existing ingestion and synchronization architecture, identifying performance bottlenecks, duplicate processing, insufficient retry logic, and situations where the source storage, metadata database, and search index could become temporarily inconsistent. The team then redesigned several important parts of the data flow. They introduced more efficient incremental synchronization so that the platform did not need to repeatedly scan entire customer libraries when only a small number of files had changed. Key deliverables included: A redesigned Python-based asset ingestion and metadata processing pipeline. Incremental synchronization for files, folders, metadata, permissions, asset versions, and custom fields. Queue-based processing for high-volume import and synchronization workloads. Idempotent processing to prevent duplicate assets and repeated metadata updates. Automated retry and dead-letter handling for failed processing jobs. Metadata normalization across images, videos, documents, EXIF data, custom fields, and storage providers. Reconciliation jobs that automatically detected and corrected differences between source storage, our records, and the search index. A new backfill tool for onboarding and reprocessing large customer libraries without affecting regular platform traffic. Search indexing improvements that allowed newly added or updated assets to become searchable significantly faster. Monitoring dashboards and alerts for processing delays, failed jobs, API quota usage, and data consistency issues. Documentation and operational playbooks for the internal engineering and support teams. The Uvik engineers also participated in code reviews, architecture discussions, production troubleshooting, and performance testing.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

During the engagement, we achieved several measurable improvements: The average initial processing time for a large customer library decreased from approximately 11 hours to 2.5 hours. The median delay between a file change in Google Drive or Amazon S3 and the corresponding update in the solution decreased from approximately 18 minutes to under two minutes. Asset and metadata processing throughput increased by more than three times. Data inconsistencies identified during reconciliation decreased by approximately 92%. Duplicate asset and metadata records caused by repeated events were reduced by more than 90%. Search indexing delays during high-volume imports decreased by approximately 70%. Customer support requests related to delayed or incomplete synchronization decreased by 38%. Infrastructure cost per million processed assets decreased by approximately 21%. The most important result was that we could process considerably larger customer libraries while maintaining predictable synchronization times and without proportionally increasing infrastructure costs.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Uvik Software’s engineers integrated directly into our existing delivery process. We managed the work through our regular Jira board, Slack channels, Git repositories, sprint planning meetings, code reviews, and product demonstrations. They delivered the agreed milestones on time and communicated risks before those risks affected the schedule. For example, during performance testing, the team identified that Google Drive API quotas could become a bottleneck for several large concurrent migrations. They raised the issue early, proposed an adaptive throttling and prioritization approach, and implemented it without delaying the planned release. They were responsive when priorities changed and were also available during production incidents involving synchronization or data consistency. Their communication was clear, technical, and focused on resolving the underlying problem rather than applying temporary fixes.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The most impressive aspect was their ability to design for real-world data failures rather than only for the expected processing path. Synchronizing data from external storage systems involves delayed notifications, API rate limits, missing metadata, duplicate events, interrupted imports, permission changes, and temporary inconsistencies. Uvik Software’s engineers understood these problems and built safeguards directly into the architecture. Their reconciliation framework was particularly valuable. Instead of relying only on event processing, they created an automated mechanism that could identify and repair inconsistencies between customer storage, our metadata layer, and the search index. That made the platform more reliable and significantly reduced the amount of manual investigation required from our engineering and support teams.

Are there any areas for improvement or something Uvik Software could have done differently?

Nothing to improve.

BACKGROUND

Please describe your company and position.

I am the Growth Manager

Describe what your company does in a single sentence.

We’re a boutique Shopify dev agency that partners with top-tier digital agencies and global eCommerce brands to deliver enterprise-level Shopify development and custom tech solutions – clean, scalable, and built to last.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to help us build a scalable data platform for Shopify projects managed by our agency. Our data was distributed across Shopify stores, custom Shopify apps, GA4, Google Ads, Meta Ads, and Klaviyo. Preparing consolidated reports required too much manual work, and differences between data sources made it difficult to provide clients with consistent and timely insights. Our main objectives were to: Centralize commerce and marketing data in a single cloud data warehouse. Automate data collection and transformation. Reduce the time required to onboard new Shopify stores. Improve the accuracy and freshness of client reporting. Create a reusable data architecture that could support multiple client projects instead of building separate integrations for every store.

SOLUTION

How did you find Uvik Software?

• Online Search
• Referral

Why did you select Uvik Software over others?

• High ratings
• Good value for cost

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software assigned two senior data engineers to work directly with our Shopify development and product teams. 

The first stage involved auditing our existing reporting processes, standalone scripts, data sources, and client-specific integrations. Based on this audit, the engineers designed a reusable data architecture that could support multiple Shopify stores without duplicating the entire pipeline for each project. 

They developed Python-based connectors for Shopify, GA4, Google Ads, Meta Ads, and Klaviyo. The pipelines collected order, customer, product, inventory, refund, fulfillment, campaign, and website analytics data and loaded it into BigQuery. 

The team also created standardized dbt models for core e-commerce entities. This was particularly important because different stores used different currencies, time zones, product structures, discount rules, and refund workflows. 

Key deliverables included: A centralized BigQuery data warehouse. Reusable connectors for Shopify and marketing platforms. Automated pipeline orchestration and scheduling. Historical data backfills for existing stores. Standardized models for orders, customers, products, inventory, refunds, and marketing performance. Data marts prepared for client-facing dashboards. Automated validation and reconciliation rules. Monitoring and alerting for failed or delayed data loads. Technical documentation and onboarding instructions. A reusable process for adding new Shopify stores to the platform. The engineers also handled Shopify-specific data complexities such as partial refunds, multi-currency orders, edited orders, duplicate customer records, timezone differences, and API rate limits."

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project produced several measurable improvements: 

Reporting data freshness improved from approximately 12–24 hours to under 60 minutes for the main data sources. 
The time required to connect and configure a new Shopify store decreased from three to five working days to less than four hours. 
Manual data preparation and reconciliation work decreased by approximately 80%, from around 30 hours per week to fewer than six. 
Pipeline success rates improved from approximately 93% to 99.8%. 
Unexplained revenue discrepancies in internal reports decreased from approximately 11% to below 2%. 
More than 25 Shopify stores and five external marketing and analytics platforms were connected to the new architecture. 
The time needed to prepare recurring client performance reports decreased by approximately 75%. 
The reusable pipeline framework allowed us to launch data reporting for new client projects without building every integration from scratch. The new architecture also made our reporting services more scalable. Our team could support more Shopify projects without increasing the amount of manual data work at the same rate.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Uvik Software’s engineers worked directly within our existing project management process. 

We used Jira for task tracking, Slack for daily communication, and weekly planning and review meetings to manage priorities. 

The work was divided into clear phases: architecture, initial integrations, warehouse and data modeling, historical backfills, monitoring, and rollout to additional stores. 

The main platform was delivered within the agreed 12-week timeline. One historical backfill took several additional days because of Shopify API rate limits, but the engineers identified the issue early, communicated it clearly, and adjusted the implementation without affecting the overall rollout. 

They were responsive when priorities changed or when we needed to add a new data source. More importantly, they did not simply follow tickets. They regularly identified data quality risks and suggested improvements before those issues affected client reporting.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The most impressive part was how quickly Uvik Software’s engineers understood the complexities of Shopify data. 

They recognized that e-commerce reporting is not simply a matter of copying orders into a database. Refunds, partially fulfilled orders, edited orders, multi-currency transactions, discounts, time zones, and attribution differences all affect reporting accuracy. 

They designed the platform around those realities instead of treating every integration as a basic API connector. 

We were also impressed by the reusable architecture they created. Rather than developing separate scripts for every client, they built a configurable framework that allowed us to add new Shopify stores and data sources with much less engineering effort. 

That approach delivered value beyond the initial scope of the project and gave us infrastructure we could continue using as the agency grew.

Are there any areas for improvement or something Uvik Software could have done differently?

The technical documentation could have been introduced earlier in the engagement. Everything else is perfetct!

BACKGROUND

Please describe your company and position.

I am the Marketing Manager of Teliqon

Describe what your company does in a single sentence.

We are Teliqon, an Estonia-headquartered team of telecom engineers and product builders who turned personal savings and hands-on industry experience into a resilient cloud, our team builds Cloud PBX, Bulk SMS, virtual numbers and CRM sync used across 170+ countries. 

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to strengthen our data engineering capacity for Teliqon Cloud, our cloud call center and business communications platform. Our main goal was to improve how we collect, process, and use operational data across voice, SMS, CRM, and call center workflows. We needed a stronger data foundation for reporting, customer-facing analytics, internal monitoring, and product decision-making. Specifically, we wanted to: consolidate call, queue, SMS, CRM, and agent activity data into more reliable pipelines; improve the freshness and accuracy of operational dashboards; reduce manual work around reporting and data reconciliation; improve visibility into call center performance metrics; create a scalable data layer that could support future analytics and automation features.

SOLUTION

How did you find Uvik Software?

• Online Search
• Referral

Why did you select Uvik Software over others?

• High ratings
• Good value for cost
• Referred to me
• Company values aligned

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software helped us improve the data engineering layer behind Teliqon Cloud, our cloud call center and communications platform. The project focused on making operational data more reliable, structured, and useful across several product areas: call routing, queue performance, agent activity, SMS campaigns, CRM integrations, and customer-facing analytics. The scope included the following key deliverables: Data pipeline development Uvik Software built and improved Python-based pipelines for collecting and processing call logs, SMS events, queue data, CRM activity, and agent performance metrics. Call center analytics data model They helped structure the data needed for reporting on call volume, missed calls, average wait time, queue performance, response time, agent productivity, and campaign activity. Reporting and dashboard support Their engineers prepared clean and consistent datasets for internal dashboards and customer-facing analytics, helping our team move away from fragmented reporting. Data quality and validation checks They implemented checks to identify missing events, duplicated records, delayed updates, and inconsistencies between source systems. Pipeline monitoring and alerting Uvik Software added monitoring around critical data workflows so our team could detect failed or delayed pipelines before they affected reporting. Performance optimization They optimized several heavy reporting queries and improved the way historical call and SMS data was aggregated. Documentation and handover The team documented pipeline logic, data definitions, and operational processes so our internal engineers could maintain and extend the system. Overall, Uvik Software helped us turn raw operational data into a more reliable analytics foundation for a cloud communications product.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project produced clear improvements in our data reliability, reporting speed, and operational visibility. Key measurable outcomes included: Data pipeline reliability improved from approximately 92% to 99.4%. Average reporting data delay decreased from around 6 hours to under 40 minutes for core operational dashboards. Manual reporting and reconciliation work decreased by about 60%. Critical data incidents related to missing or delayed call/SMS events dropped from 8–10 per month to fewer than 2 per month. Several heavy reporting queries became 35–45% faster after optimization. Our team gained visibility into pipeline health through monitoring and alerting that did not exist before. Product and operations teams could analyze call volume, queue performance, SMS activity, and agent metrics with much higher confidence. The biggest business result was that our reporting became more trustworthy and much closer to real time, which is essential for a call center platform.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Their project management was very smooth. Uvik Software’s engineers worked inside our existing process, which made collaboration easy. They joined our regular planning, communication, and review flow. Tasks were tracked transparently, priorities were discussed directly with our team, and deliverables were released in clear iterations. They delivered the main items on time and communicated early whenever a data dependency or integration issue required clarification. Their response time was strong, and they were proactive in raising risks around data quality, source-system inconsistencies, and reporting edge cases. What we appreciated most was that they did not need heavy supervision. Once priorities were clear, they owned the work end to end and kept our team updated.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The most impressive part was how quickly their engineers understood the operational complexity of a cloud call center platform. This was not a simple analytics project. The data came from multiple workflows: calls, queues, agents, SMS, CRM activity, integrations, and customer reporting. Uvik Software’s engineers were able to work with that complexity and still keep the solution practical. They were also very strong at thinking beyond individual tickets. Instead of only building pipelines, they improved monitoring, validation, data definitions, and long-term maintainability. That made the engagement more valuable than a typical staff augmentation project. They felt like senior internal engineers who cared about the quality of the product, not just the completion of assigned tasks.

Are there any areas for improvement or something Uvik Software could have done differently?

For future projects, I would suggest starting with a short data glossary workshop at the beginning of the engagement.

BACKGROUND

Please describe your company and position.

I am the Business Development Manager of Protectimus Limited

Describe what your company does in a single sentence.

Multi-factor authentication provider

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to extend our internal data engineering team with experienced Data Engineers who could help us improve the reliability, scalability, and maintainability of our data platform. Our main goals were to stabilize production data pipelines, improve data freshness for analytics and reporting, reduce recurring pipeline failures, optimize warehouse performance, and build better monitoring around data quality and pipeline health.

SOLUTION

How did you find Uvik Software?

• Online Search
• Referral

Why did you select Uvik Software over others?

• Good value for cost
• Referred to me
• Company values aligned

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software provided Data Engineers who joined our internal data team and worked directly on our production data platform.

The scope included improving existing data pipelines, building and maintaining ETL/ELT workflows, optimizing Snowflake performance, improving Airflow DAG reliability, and making dbt transformations more structured and maintainable.

Key deliverables included:

• Refactored and stabilized production data pipelines
• Improved Airflow orchestration and failure handling
• Optimized Snowflake queries and warehouse usage
• Improved dbt models and transformation logic
• Added data validation and quality checks
• Built monitoring and alerting for failed or delayed pipelines
• Improved documentation and ownership visibility for key workflows
• Helped onboard new data sources into the analytics platform

Their work helped make our data platform more reliable, transparent, and easier for our internal team to maintain.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The engagement led to clear improvements in the reliability and performance of our data platform.

Our pipeline success rate improved from around 93% to over 99%, and the average refresh time for key dashboards decreased from 6–7 hours to under 1 hour. Recurring pipeline failures were reduced by more than 80%, and our team gained much better visibility into failed, delayed, or incomplete data workflows.

The monitoring and alerting improvements were especially valuable because we could detect issues earlier instead of discovering them through business-user complaints.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was very smooth. Uvik Software’s Data Engineers integrated directly into our existing workflow, including our Jira board, Slack channels, planning meetings, and code review process.

They delivered items on time, communicated clearly, and were transparent when a task required deeper technical investigation. They were also responsive when production issues appeared and proactive in suggesting improvements to pipeline reliability, monitoring, and data quality.

They worked more like part of our internal data team than an external vendor.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The most impressive part was the quality and independence of their data engineers.

They did not just wait for detailed tickets. They identified weak points in our data pipelines, improved monitoring, suggested better structure for transformations, and helped us reduce operational risks in the data platform.

Their ability to combine hands-on data engineering work with ownership, communication, and production reliability mindset made them stand out.

Are there any areas for improvement or something Uvik Software could have done differently?

  There were no major issues.

BACKGROUND

Please describe your company and position.

I am the Executive of Panem Agency

Describe what your company does in a single sentence.

SEO agency

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to extend our data engineering team and help us modernize the data platform behind our payment analytics, financial reconciliation, and internal reporting workflows. Our main goals were to reduce manual data preparation, improve the reliability of our ETL pipelines, speed up reporting for finance and operations teams, and create a cleaner transformation layer that could support both internal dashboards and customer-facing analytics. We were not looking for a vendor to simply take tickets. We needed senior data engineers who could join our existing team, understand a complex data environment, and take ownership of production-grade pipelines, data quality, and warehouse performance

SOLUTION

How did you find Uvik Software?

• Online Search
• Referral

Why did you select Uvik Software over others?

• High ratings
• Good value for cost
• Referred to me

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software provided two senior data engineers who joined our internal data team and worked directly in our Jira, GitHub, Slack, and code review process. The project started with an audit of our existing data pipelines and warehouse structure. We had a number of legacy Python and SQL jobs that were difficult to maintain, poorly monitored, and too dependent on manual checks from our finance and operations teams. Uvik Software’s engineers helped us redesign and rebuild several critical parts of the platform. They refactored Python-based ETL jobs, improved Airflow DAG structure, introduced stronger data validation logic, and helped move more business logic into dbt models so that transformations became easier to test, review, and maintain. Key deliverables included: Refactoring 70+ legacy ETL jobs Building new Airflow DAGs for payment, transaction, merchant, and reconciliation data Creating dbt models for core finance and operations reporting Optimizing Redshift tables, queries, and materialized views Implementing automated data quality checks Building monitoring and alerting for failed or delayed pipelines Reducing manual reconciliation work through automated matching logic Improving data availability for BI dashboards used by finance, operations, and account management teams They also documented the new pipeline structure and helped our internal team adopt clearer standards for naming, testing, deployment, and ownership of data models.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project produced measurable improvements across reliability, speed, and operational efficiency. Over the course of the engagement: Data pipeline success rate improved from 94.1% to 99.3%. Monthly pipeline failures decreased from around 18 per month to 3 or fewer. Daily finance reporting time was reduced from approximately 11 hours to 75 minutes. Manual reconciliation work decreased from 35–40 hours per week to fewer than 8 hours. Core dashboard load times improved from 40–50 seconds to under 10 seconds. New data source onboarding time decreased from 2–3 weeks to around 4–5 days. More than 70 legacy ETL jobs were refactored or replaced. The team gained automated visibility into pipeline delays, failed jobs, and data quality issues. The biggest business impact was that our finance and operations teams no longer had to wait almost a full day for reliable reporting. They could access fresher and more accurate data with far less manual work.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Uvik Software’s engineers worked as part of our internal data team, so project management was very smooth. They joined our sprint planning, daily communication, backlog grooming, and code review process. Most deliverables were completed on time, and when a task required more investigation, they communicated the reason clearly and early. We especially appreciated that they did not just complete assigned tickets mechanically. If they saw a better technical approach or noticed a risk in an existing pipeline, they raised it proactively. Their response time was strong, and they were reliable during production issues. When we had pipeline failures or data delays, they helped troubleshoot quickly and usually came back with both a short-term fix and a longer-term prevention plan.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The most impressive part was how quickly their engineers became productive in a complex data environment. They were not limited to one narrow area. They could work across Python pipelines, Airflow orchestration, SQL optimization, dbt models, AWS infrastructure, and data quality checks. That combination was very valuable for us because our problems were not isolated to one tool. They also brought senior-level ownership. Instead of only asking for exact requirements, they helped define better pipeline standards, improve monitoring, and reduce hidden operational risks in our data platform.

Are there any areas for improvement or something Uvik Software could have done differently?

Their technical work is strong from the beginning, but we initially had slightly different expectations around how detailed pipeline documentation should be. After we aligned on the format, everything became consistent and easy for our internal team to maintain.

BACKGROUND

Please describe your company and position.

 I am the Business assistant of an other industries company 

Describe what your company does in a single sentence.

One of the leading agencies specialising in WordPress development.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to strengthen our data platform and improve real-time data processing capabilities. Our main goals were to reduce data latency, stabilize unreliable streaming pipelines, and scale our infrastructure to handle increasing event volumes from multiple product systems.

SOLUTION

How did you find Uvik Software?

• Online Search
• Referral

Why did you select Uvik Software over others?

Good value for cost

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software embedded two senior data engineers into our team to work on both streaming and batch data pipelines. They redesigned parts of our Kafka-based ingestion layer, stabilized Spark streaming jobs, and improved data transformation workflows using dbt. They also optimized our Snowflake warehouse usage and refactored several high-cost queries. A key part of their work was building a proper observability layer: pipeline monitoring, alerting, and logging, which allowed us to detect and resolve issues much faster. Key deliverables included: Refactored streaming pipelines (Kafka + Spark) Improved batch transformations using dbt Snowflake performance optimization Monitoring and alerting system for pipeline health Documentation and knowledge transfer for internal team

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Over approximately five months: End-to-end data latency decreased from ~2 hours to under 15 minutes Pipeline success rate improved from 93% to 99.4% Streaming job failures reduced by more than 80% Snowflake costs reduced by ~18% through query optimization Data processing throughput increased by ~2.1x Incident response time dropped significantly due to improved monitoring

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Their engineers worked as part of our internal team, participating in our sprint planning, daily standups, and code reviews. Deliverables were consistently on time, and communication was clear and proactive. They responded quickly to issues and were comfortable taking ownership of complex tasks without requiring constant oversight.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What stands out most is their ability to quickly understand our data platform and start contributing almost immediately. They didn’t just execute tasks — they proactively identified architectural issues, suggested improvements, and implemented solutions that had a long-term impact on system reliability and scalability.

Are there any areas for improvement or something Uvik Software could have done differently?

At the beginning of the project, we could have aligned more clearly on data modeling conventions and naming standards. Once this was addressed, collaboration became smooth and efficient.

BACKGROUND

Please describe your company and position.

I am the CMO of Claspo

Describe what your company does in a single sentence.

Claspo is a no-code popup builder that helps grow email lists, generate leads, and increase sales.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Uvik Software to accomplish?

• We hired Uvik Software to redesign and scale our FastAPI backend so it could support significantly higher traffic, lower latency, and improve production reliability. Our previous implementation had become a bottleneck for growth, so we needed a team that could optimize the architecture for high-throughput API workloads, strengthen observability, and make deployments faster and safer.

SOLUTION

How did you find Uvik Software?

• Online Search
• Referral

Why did you select Uvik Software over others?

• High ratings
• Great culture fit

How many teammates from Uvik Software were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Uvik Software was brought in to rebuild and optimize the backend for our high-throughput API product. The engagement focused on improving scalability, response times, uptime, deployment speed, and long-term maintainability.

Their team reviewed the limitations of our existing implementation and redesigned the service around better async patterns and more scalable backend practices. They optimized database access, introduced Redis caching, improved connection management, and strengthened the deployment setup in AWS ECS. They also added a more robust observability layer so the platform team could monitor performance and diagnose issues more effectively in production.

Key deliverables included:

• redesigned FastAPI backend architecture;
• performance optimization across the API and database layers;
• Redis caching and connection pooling implementation;
• improved AWS ECS deployment setup;
• observability with Prometheus, Grafana, and structured logging;
• better automated test coverage and code quality practices;
• support for production rollout and scaling.

Overall, the scope covered both technical modernization and practical performance engineering to make the API ready for the next stage of customer growth.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project delivered clear performance and operational improvements. API throughput increased from about 3,000 requests per second to 15,000 requests per second, while p95 latency dropped from 380 ms to 42 ms. Since launch, uptime has remained at 99.97%.

In addition, our deployment process became much faster, moving from biweekly releases to multiple deployments per day. Test coverage on the rebuilt backend reached 91%, and infrastructure cost per request declined by around 35%. These improvements gave us a more scalable and reliable platform for continued growth.

Important: replace these metrics with the client’s real numbers if needed.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Their project management was strong throughout the engagement. They were organized, responsive, and easy to work with, and they integrated well with our internal platform team. Deliverables were generally completed on time, and communication was consistent and clear.

They were proactive in surfacing risks, discussing tradeoffs, and adjusting priorities when needed. What I appreciated most was that they did not just execute tickets mechanically — they understood the business importance of performance and reliability and responded accordingly. Overall, they were dependable and collaborative partners.

What was your primary form of communication with Uvik Software?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The most impressive thing was their level of performance engineering discipline. They did not stop at making the API functional — they looked at the system end to end and optimized it at every meaningful layer, from async patterns and database access to caching, observability, and deployment.

That combination of FastAPI-specific expertise and practical production thinking is rare. Many teams can build backend features, but fewer can materially improve throughput, latency, uptime, and cost efficiency at the same time. Uvik Software stood out because they could do both.

Are there any areas for improvement or something Uvik Software could have done differently?

I would say that their initial API documentation style was a bit different from our internal format. That said, they adapted quickly once we aligned on expectations, and it did not have any meaningful impact on delivery or outcomes.