ETL and ELT are some of the most common workflows built with Apache Airflow^®, yet teams often face challenges around scale, data quality, and changing data sources. Airflow 3 addresses these challenges with asset-aware scheduling, dynamic task mapping, and built-in data quality operators.

In this 90-minute, virtual workshop, you’ll build end-to-end ETL and ELT pipelines using Airflow’s most impactful features, all in your browser with no local setup required. You’ll work through a realistic data scenario and learn practical patterns you can apply to real-world pipelines.

You will learn how to:

• Build and validate trustworthy ETL pipelines with SQL-based transformations and data quality gates
• Design scalable, data-driven workflows that adapt at runtime using asset-aware scheduling and dynamic task mapping
• Use advanced Airflow 3 capabilities such as human-in-the-loop approvals, Dag versioning, and backfills