Summary
Sumiya Ganbaatar is an Analytics Engineer based in San Francisco with a decade of professional experience and 2+ years focused on data analytics and engineering. He leverages SQL, Python, and PySpark on platforms like Databricks and AWS to turn messy data into actionable business insights, and is comfortable deploying pipelines with Airflow, Docker, and PostgreSQL. His background spans roles at Visa and Holman plus data science work for a clean-air NGO, showing an ability to bridge enterprise analytics and mission-driven projects. With a B.A. in Statistical and Data Sciences, he pairs solid statistical grounding with practical BI skills in Tableau and Power BI. Outside work he balances family life as a husband and dad, bringing a grounded, pragmatic approach to complex data problems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Statistical and Data Sciences, Bachelor of Arts - BA, Statistical and Data Sciences at The College of Wooster