Mark Schott is a Senior Cloud Data Engineer in New York with 11 years of experience turning complex data into actionable business outcomes across finance, HR/payroll, and energy sectors. He has led end-to-end platform builds and migrated mission-critical pipelines in PySpark/Glue/EMR and Databricks, improving performance and reducing client data refreshes by weeks while supporting multi-million-dollar products. Comfortable navigating corporate constraints, he pairs hands-on engineering—Kubernetes, Snowflake, Azure, CI/CD—with practical governance work like EU data anonymization and compliance-minded deployment. His background in physics and early research-driven roles gives him a penchant for rigorous anomaly detection and time-series methods that have saved substantial processing and investigation time. Colleagues rely on him as a problem-solver who blends data science curiosity with production-focused cloud engineering.
11 years of coding experience
7 years of employment as a software developer
Bachelors of Science General Physics, Bachelors of Science General Physics at Wayne State University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.