Designed an end-to-end data quality monitoring framework for a production pharma pipeline: pre-load checks in AWS Lambda and post-load checks in Snowflake. Built from a gap analysis of 107+ historical data issues across 6 sources, it grew rule coverage to 114 unified checks and tuned thresholds to bring false-positive alerts below 5%.
0 likes · 0 views · Nov 10, 2026
End-to-end data quality framework for a production pharma pipeline: 114 unified checks across AWS Lambda and Snowflake, with false-positive alerts below 5%.
