Context
A regulatory data environment required end-to-end validation across structured and unstructured data after ETL changes.
Automation · Data quality
Automated ETL Testing Framework
A Python validation framework that replaced a multi-day manual test cycle with an automated, traceable workflow.
PythonSQLSAP BusinessObjectsPowerDesigner
Primary impact
3 days → 3 mintest validation time
Test scenarios
ETL jobs
Python controls
Reconciliation
Validation report
Context & challenge
Why the work mattered.
Challenge
Manual execution, comparison and reporting made validation slow, difficult to reproduce and vulnerable to human error.
Solution
Designed a Python framework that orchestrated ETL jobs, compared outputs, recorded exceptions and generated traceable validation reporting.
My contribution
- Analysed the existing testing workflow and failure points
- Designed the validation architecture and reusable comparison logic
- Automated job execution for structured and unstructured flows
- Connected results to reporting for clearer traceability
- Documented the workflow for repeatable team use
Outcomes
- Reduced validation time from three days to three minutes
- Reduced manual effort and user errors
- Improved repeatability and auditability of ETL testing
- Created a reusable foundation for future validation scenarios
Discuss your needs
What would you like to build or improve?
Tell me about your idea, the system you want to improve or the support your team needs. I can help define a clear scope, even without a technical specification.