Mark Bauer is a Senior Software Developer based in New York with seven years of experience building data-first systems across cloud platforms and modern data stacks like Snowflake, Databricks, Trino/Starburst, and DuckDB. He blends hands-on Python and SQL engineering (pandas, scikit-learn, Ibis, Polars, Dask) with production ETL and orchestration using Airflow, Spark, and CI/CD to deliver scalable analytics and risk products for clients in finance, insurance, and government. His work on climate and hazard modeling at First Street produced widely cited National Risk Assessment outputs and included building reusable Python packages and automated data pipelines with robust testing. Recently obsessed with databases and database management systems, he earned Starburst Certified Practitioner status in 2024 and contributes actively to open-source data analysis projects (300+ GitHub stars) showcased in his portfolio. Trained in GIS and urban informatics (Rutgers, NYU), he brings a rare mix of spatial domain expertise and practical production engineering that helps turn complex geospatial risk data into actionable products.
7 years of coding experience
8 years of employment as a software developer
Advanced Graduate Certificate Applied Urban Science and Informatics, Advanced Graduate Certificate Applied Urban Science and Informatics at New York University
Master of City and Regional Planning Geographic Information Systems, Master of City and Regional Planning Geographic Information Systems at Rutgers University
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
Contributions:6 commits, 6 PRs, 247 pushes in 1 year 6 months
data-analysispythondatadata-scienceopen-data
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