Validating data integrity across every stage of your pipeline.
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.
A 30-minute working session to understand your stack, release cadence, and risk profile. A written scope follows within three business days.