ETL and ELT are among the most common data engineering use cases, and Snowflake is one of the most widely adopted data warehouses. With the recent release of Airflow 3.1, orchestrating data operations in Snowflake has become even more powerful and streamlined, with new features like Human-in-the-Loop (HITL) for workflows that require human intervention.

In this webinar, we’ll walk through everything you need to build reliable, production-ready ELT pipelines using Airflow 3 and Snowflake. We’ll build an end-to-end ELT pipeline: API → S3 → Snowflake → Transform → Archive, featuring Snowflake Stages, automated validation, and Human-in-the-Loop integration.

You’ll learn how to:

• Use and choose between Snowflake-specific operators
• Implement data quality checks with Airflow
• Use best practices for parameterized SQL queries

Whether you’re new to these tools or looking to modernize your existing workflows, you’ll learn industry best practices through a live demo.