Feeling overwhelmed by constant tech updates? Join Maura McEnroe and Jenn Zmuda of UnitedHealth Group to navigate the ever-changing tech landscape. Learn practical strategies for successful change management, focusing on the human side, to empower your team and drive better outcomes.

In search of a better, modern, simplistic method of managing ETL’s processes and merging them with various AI and ML tasks, we landed on Airflow. We envisioned a new user friendly interface that can leverage dynamic DAG’s and reusable components to build an ETL tool that requires virtually no training. We built several template DAG’s and connectors for Airflow to typical data sources, like SQL Server. Then proceeded to build a modern interface on top that brings ETL build, scheduling and execution capabilities. Acknowledging Airflow is designed for task orchestration, we expanded our infrastructure to use K8 and Docker for elastic computing. Key to our solution is the ability to create ETL’s using only open source tools, whilst executing on-par or faster than commercial solutions and an interface so simple that ETL’s could be created in seconds.