Existing application delivery

Import, export and data-flow fixes

Fix brittle mappings, unreliable imports and exports, and SQL-backed data flows that are creating repeated errors or manual correction work.

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Problems this service addresses

  • CSV imports that fail or create incomplete records
  • Duplicate records and unreliable matching
  • Incorrect field mapping between systems
  • Exports with malformed or missing values
  • Cleanup routines that are difficult to repeat safely

Typical scope

  • Trace the affected import, export or cleanup path
  • Review representative input and output examples
  • Correct validation, mapping and transformation logic
  • Test the agreed scenarios and relevant edge cases
  • Document significant assumptions and handling requirements where needed

What the client provides

  • Representative source files and failed outputs
  • Expected field definitions and business rules
  • Codebase, database and environment access
  • Safe test data or an agreed sanitised sample
  • Someone who can confirm the expected output and downstream requirements

Delivery output

  • Changes to the agreed mapping or processing logic
  • A repeatable handling or cleanup path where practical
  • Testing against agreed representative data
  • Notes covering significant assumptions and edge cases where relevant
  • Handover guidance where routine internal handling is part of the scope

Good delivery conditions

  • The expected input and output can be described
  • Representative samples are available
  • Data ownership and handling responsibilities are clear
  • The affected systems can be accessed safely

Exclusions

  • Large data-platform replacement programmes
  • Unbounded data warehouse redesign
  • Production data changes where appropriate rollback or recovery arrangements cannot be agreed
  • Open support commitments after handover

Pricing approach

Quoted once the affected data flow is understood

Where the affected path, representative data and expected result can be clearly defined, I can quote for the agreed piece of work. If the source of the failure, dependencies or data risk are unclear, I will recommend an investigation and scoping step before committing to a larger fixed delivery scope.

How work starts

Review the data before changing the flow

Start with representative evidence. Share samples, failed cases and the expected output so the affected path, risks and expected result can be understood.

Make the correction repeatable. Changes are tested against the agreed representative cases, with significant assumptions and any agreed operating guidance documented at handover.

For wider C#, SQL Server, API or application work, explore senior .NET delivery for existing systems.

Is a fragile data flow creating repeated correction work?

Share a representative input, the current output and the result the operational team needs.

Send a project brief