Project leader: led a team of three engineers to build an ETL pipeline using Google Bigquery, Airflow, Docker, and Kubernetes to refresh AmFam’s largest auto modeling dataset, reducing the time-to-market cycle by months.
Improved automation of multiple vendor file transfer processes using Python, GCP Storage API, Google Secret Manager, and GNU Privacy Guard. Decreased person-hours per transfer from 2 hours to 5 minutes per transfer.
Mentored a Rotation Analyst in technical skills including Python, BigQuery/SQL, Git/GitLab, Airflow, Terraform, and various services in Google Cloud Platform (GCP) and Amazon Web Services (AWS).