Built an automated data quality monitoring system that detects errors before they impact business decisions. It validates incoming data, tracks failures, monitors data freshness, and sends real-time alerts via email and Slack. Includes AI-generated summaries to help non-technical teams quickly understand and act on issues, reducing manual checks and improving data reliability.