Automated Data Quality Monitoring System is a Python portfolio project for validating PostgreSQL data with configurable YAML rules, storing run history, tracking issue details, generating alerts, and visualizing data health in a Streamlit dashboard.
The project is designed to be beginner-friendly while still showing professional data engineering and data governance practices: safe configuration handling, modular checks, logging, tests, Docker support, CI, and optional API access.
check: https://github.com/fandishemussa/Automated-Data-Quality-Monitoring-System
Automated Data Quality Monitoring System is a Python portfolio project for validating PostgreSQL data with configurable YAML rules, storing run history, trac...