Summary
Michael Sadler is a Data Engineer III based in Austin with a decade of experience building production ETL pipelines, CI/CD systems, and data infrastructure using tools like Airflow, dbt, Beam, BigQuery and Snowflake. At Branch he progressed from Data Engineer to Senior-level responsibilities, designing scalable data workflows deployed in Docker and Kubernetes environments. His background as a software engineering consultant and earlier internships in networking and security give him a practical full-stack perspective on reliability and observability. Michael is active in open source—his GitHub hosts projects that reflect his focus on reproducible pipelines and automation—and he pairs a strong academic foundation (BS and MS in CS/Math from UMass Amherst) with hands-on operational delivery.
10 years of coding experience