At Astronomer, I lead Apache Airflow and Astronomer implementations for multiple customers, designing DAG architectures and migration strategies for 100+ pipelines. I also designed Kubernetes-based remote execution environments with queue-depth-based autoscaling and observability.
At Wayfair, I led the migration of 20+ teams to GCP Cloud Composer, streamlining 200+ ETL pipelines and saving $60K in platform costs. I engineered a self-service platform that automated provisioning of Cloud Composer and Dataproc infrastructure.
At Fanatics Inc., I built production data pipelines and migrated Hive/Spark and Redshift workflows to Snowflake with Airflow orchestration, reducing warehouse refresh time from 6 hours to 45 minutes. Earlier, at Predible Health and Quantiphi Analytics Pvt. Ltd, I developed deep learning and NLP solutions, including a model for identifying abnormalities in Head CT scans.

