•Worked with Data Science, Analytics, and Finance and other business partners to achieve quality data ingestion and simplify self-service asks for business stakeholders
•Built, migrated and maintained robust ETL pipelines from different sources (S3, Snowflake, Postgres)
•Scaled data warehouse system (Snowflake) to support complex analysis across our data science ML, infrastructure, and product teams
•Served as a primary resource for data expertise across business-facing and engineering teams
Example keystone projects: Created a python connection layer framework for self serve data pipelining and scheduling on Kubernetes Airflow, abstracting the ETL process from from analysis and data scientist
