Data Pipeline Testing
Validating data integrity across every stage of your pipeline.
What this engagement covers.
Data pipeline failures are silent, bad data flows downstream without errors before anyone notices. We build assertion suites covering schema correctness, row counts, null rates, referential integrity, and transformation logic.
Source and target schemas verified against contracts on every pipeline run.
Input-to-output record counts compared with tolerance thresholds.
Null rates, duplicate detection, and range validation per column.
Business rules verified with known input/output pairs.
Upstream schema changes detected before they corrupt downstream tables.
Pipeline completion time and data freshness tracked against defined SLAs.
Tools and technologies.
Data-pipeline engagements end with assertions that fail loudly when upstream data shifts. The toolkit covers schema, freshness, distribution, and orchestration.
Tools
Technologies
Make your next releaseuneventful.
Book a free 30-minute quality audit. We'll review your stack and show you exactly where the risk is hiding, no pitch deck required.