Automated Data Pipeline Testing Framework with Contract Verification

A testing framework for data pipelines that automatically verifies data contracts between steps, catches schema drift, runs regression tests on historical samples, and integrates into CI/CD before deployment.

Data pipeline complexity has grown faster than testing tooling. Koheesio (Nike) and similar frameworks encourage modularity but lack testing primitives. The Data Engineering Zoomcamp community and production incidents from schema changes show persistent demand for pipeline testing that catches issues before data reaches consumers.

Data engineers and analytics engineers building production data pipelines with Spark, dbt, or custom frameworks

Data teams at mid-to-large organizations running 100+ scheduled data pipelines