Milan Stefanovic
Staff Software Engineer at Databricks
Serbia
Summary
🤩
Rockstar🎓
Top SchoolMilan Stefanovic is a Staff Software Engineer based in Serbia with a strong track record in building and evolving large-scale data systems. Over roughly nine years at Microsoft and Databricks, he progressed from intern to staff engineer, focusing on backend and SQL-related features that make analytics platforms more expressive and reliable. He’s an active contributor to Apache Spark, adding SQL conveniences like SELECT * EXCEPT and EXECUTE IMMEDIATE and fixing subtle timestamp formatting bugs across JSON, XML, and CSV outputs. Milan combines production-grade engineering with parser and language-extension work—skills that sit at the intersection of compiler-like concerns and distributed data processing. Colleagues rely on him to take ownership of complex, cross-cutting features that improve developer ergonomics and correctness in widely used open-source projects.
2 years of coding experience
9 years of employment as a software developer
Computer Science, Computer Science at Faculty of Electrical Engineering, University of BelgradeEngineer’s Degree, Computer Science, Engineer’s Degree, Computer Science at University of Belgrade
English
Github Skills (9)
javas10
big-data10
spark10
parser10
parsing10
sql10
parse10
java10
scala10
Programming languages (2)
Github contributions (5)
apache/spark
Nov 2023 - Jan 2025
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:70 reviews, 9 PRs, 72 comments in 1 year 2 months
Contributions summary:Milan primarily focused on enhancing the SQL capabilities of Apache Spark, introducing new syntax (`SELECT * EXCEPT`) for more flexible column selection and implementing the `EXECUTE IMMEDIATE` feature. These changes involved modifying the parser, adding new expressions, and ensuring correct parameter handling. The user also worked on improvements related to timestamp formatting for JSON, XML, and CSV outputs, correcting discrepancies in older timestamps with offsets.
analyticspythondata-processingsqlapache
milastdbx/spark
Nov 2023 - Sep 2024
Apache Spark - A unified analytics engine for large-scale data processing
Contributions:65 pushes, 12 branches in 10 months
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