Lead developer for the Splice Feature Store, a tool built with SQLAlchemy and FastAPI that enabled data scientists to productionize and manage pipelines for creating Machine Learning datasets

Prepared end-to-end demonstrations of the Feature Store and its integration with MLflow in Jupyter Notebooks

Authored FastAPI and Apache Airflow applications and deployed them using Docker and Kubernetes to AWS, GCP and Azure, allowing users to create horizontally scalable data pipelines for Machine Learning

Created and managed production data pipelines using Apache Airflow, Python, Spark and Docker