Uros Stankovic
Software Engineer at Databricks
Belgrade, Central Serbia
Summary
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Rockstar🎓
Top SchoolUros Stankovic is a software engineer based in Belgrade with two years of professional experience building cloud and data platform features at Databricks and Microsoft. As an early hire on Databricks’ Lakehouse Federation team in Serbia, he works on federating data across lakehouse environments and brings hands-on experience from Azure SQL Managed Instance infrastructure development. He contributes to high-profile open-source projects like Apache Spark, improving JDBC integration, query explain output, and logging for better observability in large-scale data processing. Uros combines strong academic performance from the University of Belgrade’s School of Electrical Engineering with practical backend engineering skills in distributed systems. He’s comfortable operating at the intersection of platform-as-a-service internals and analytics tooling, with a knack for making complex data flows more debuggable and auditable.
2 years of coding experience
Software Engineer, Computer Software Engineering, 9.7, Software Engineer, Computer Software Engineering, 9.7 at University of Belgrade, School of Electrical Engineering
Stackoverflow
13reputation
6kreached
1answer
5questions
Github Skills (25)
spark10
jdbc10
java10
scala10
javas10
sql10
big-data9
performance-tuning8
performance-analysis8
performance-measurement8
performance-monitor8
performance-analytics8
performance-monitoring8
admin7
databases7
Programming languages (3)
Github contributions (5)
apache/spark
Jan 2024 - Dec 2024
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:69 reviews, 18 PRs, 81 comments in 11 months
Contributions summary:Uros primarily contributed to the Apache Spark project, focusing on enhancing the JDBC integration for external data sources. Their work involved adding query execution time metrics and the executed SQL query to the explain output, improving monitoring and debugging capabilities. They also refactored code to create a dedicated class for the JDBC V1 relation and added a table identifier to the `RowDataSourceScanExec` for better logging and analysis. Furthermore, they addressed an issue related to default value handling during column analysis.
analyticspythondata-processingsqlapache
urosstan-db/spark
Jan 2024 - Dec 2024
Apache Spark - A unified analytics engine for large-scale data processing
Contributions:61 pushes, 16 branches in 10 months
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