How to Build a Data Quality Monitoring System with Great Expectations & Airflow

Data quality issues are one of the fastest ways to break pipelines, dashboards, and trust in your data platform. In this video, I walk through how to design and build a real-world data quality monitoring system using Great Expectations and Apache Airflow — the same patterns used by modern data teams in production. You’ll learn how data engineers actually implement data quality, not just how to write expectation rules. Join My Patreon for Early Access to Videos and Code: https://patreon.com/TheDataGuy?utm_me... Join My Discord for Any Questions or Code:   / discord