project · 2019-2021
Cloud-native data-quality platform
Led development of a configurable data-quality platform with reusable connectors for profiling, validation, and reconciliation across varied sources.
The problem
Teams needed a repeatable way to assess data quality across different storage systems without building one-off checks for every source.
Approach
- Designed a pluggable connector model for common data sources.
- Implemented reusable profiling, validation, and reconciliation workflows.
- Kept rules configurable so teams could apply consistent controls to their own data products.
Outcome
The platform created a reusable foundation for data-quality work while allowing implementations to evolve independently.