Are you responsible for delivering data on a schedule? You may have written scripts, added complex cron tasks, and tried various ways to meet an ever-changing set of requirements. It's even trickier to work with your teammates on managing multiple sets of requirements. Airflow can do this while adding scheduling, error handling, and reporting. Introduction to Airflow in Python will guide you in the basic concepts of Airflow and help you implement data engineering workflows in production. You'll implement many different data engineering tasks in a sane, repeatable fashion, while losing as little sanity as possible.