Full-Stack Data Platform with Embedded Testing & Knowledge Transfer

IDS delivered the platform end-to-end (Python and .NET services, automated test coverage from day one) while running a structured knowledge transfer track in parallel — pairing IDS engineers with the client's internal team throughout, not just in a handover week at the end.

Client

A mid-size IT services company

Services provided

About the project

Our solution

The Customer: Who they are

A mid-size IT services company building an internal data platform to support its own client reporting, rather than relying on manual spreadsheet consolidation.

The Challenge: Identifying the villain

The company had strong engineering talent but no dedicated data platform experience, and previous internal attempts to build the platform stalled because engineers were pulled onto client-billable work whenever deadlines got tight. “We kept starting this project and never finishing it,” said the CTO.

The Journey: The search for a solution

Hiring dedicated data engineers had proven slow in a competitive market, so the company looked for a partner who could deliver the platform and build internal capability at the same time, rather than leaving them dependent afterward.

The Discovery: Finding IDS

The company found IDS through its “we don’t just deliver, we transfer” positioning, which matched exactly the internal capability gap they needed closed.

The Solution: The hero arrives

IDS delivered the platform end-to-end (Python and .NET services, automated test coverage from day one) while running a structured knowledge transfer track in parallel — pairing IDS engineers with the client’s internal team throughout, not just in a handover week at the end.

The Implementation: The battle

Each sprint included a paired-delivery component where internal engineers built features alongside IDS under review, gradually taking on more ownership as the project progressed. The obstacle: balancing delivery speed with genuine skill transfer; IDS deliberately slowed early sprints to prioritize teaching over pure output, which paid off in later self-sufficiency.

The Results: The happy ending

  • Platform delivered on schedule 
  • Internal team fully self-sufficient to extend and maintain the platform post-engagement
  • Defect rate at launch: low, attributed to embedded testing from sprint one 
  • Client reporting time: days of manual consolidation → automated same-day 

“We didn’t just get a platform, we got a team that can run it.” — CTO 

Technologies used: Python · .NET · DevOps toolchain · test automation frameworks

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