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.

Colorful performance gauge graphic ranging from red to green with a needle pointing to the green area

Architecture and Stack

PythonSQLdbtPlotlyDashboardsPostgreSQL