Data Engineering
Automated Data Quality Monitoring Platform
Automated data quality monitoring with real-time dashboards, reducing incidents and giving stakeholders a single, trusted view of data health.
I architected and built an automated data quality monitoring platform and took long-term ownership of its operation. The system compares key source and target systems, runs configurable checks on completeness, accuracy, consistency, and freshness, and surfaces issues in real time via dashboards and alerts. This setup significantly reduced data incidents, enabled proactive remediation, and provided business stakeholders with a single place to assess and trust the overall health of critical data pipelines.

Architecture and Stack
PythonSQLdbtPlotlyDashboardsPostgreSQL