Taught Terraform to ML team, saving project and $3MM annually

Taught Terraform to inference (ML) platform team & created tooling alongside them to deploy their entire MQTT-induced Apache Airflow jobs in Kubernetes, enabling them to complete a yearlong, at-risk project and saving measurable amounts of time and energy.

This project saved the need for several copies of the same messages, reducing AWS S3 (object storage) spend by $3MM annually.