apache/spark
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonScala
Technical Skills
PythonScalaSparkbig datadata processing
Uros Stojkovic
PROFILE
Uros Stojkovic
Uros Stojkovic developed two core features across major open-source data projects over a two-month period. In apache/spark, he built a bitmap intersection capability by introducing the bitmap_and_agg function, enabling efficient bitwise AND operations across binary columns for large-scale analytics. His approach emphasized correctness, handling edge cases such as empty inputs and missing bytes, and included comprehensive test coverage in Scala and Python. In apache/parquet-java, Uros added a method to expose the current row group index during reads, improving observability and control in Java-based ETL pipelines. His work demonstrated careful attention to maintainability, integration, and robust data processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
336
Activity Months2
Your Network
617 peopleSame Organization
@databricks.com262
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) — Delivered a new observability feature in apache/parquet-java that exposes the current row group index during reads, enhancing data processing visibility and management. The change introduces a getCurrentRowGroupIndex method in Parquet readers, supports tracking within row groups, and was formatted with mvn spotless:apply. No major bugs fixed this month in this repo; this feature lays groundwork for improved debugging and reliability in Parquet-based ETL pipelines. Overall, the work contributes to better data processing control, tracing, and developer velocity across Parquet data ingestion and processing.
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) — Delivered a new observability feature in apache/parquet-java that exposes the current row group index during reads, enhancing data processing visibility and management. The change introduces a getCurrentRowGroupIndex method in Parquet readers, supports tracking within row groups, and was formatted with mvn spotless:apply. No major bugs fixed this month in this repo; this feature lays groundwork for improved debugging and reliability in Parquet-based ETL pipelines. Overall, the work contributes to better data processing control, tracing, and developer velocity across Parquet data ingestion and processing.
March 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for Oct 2025: Delivered a new bitmap intersection capability in Apache Spark, improving bitmap analytics and enabling efficient set intersections across large binary datasets. Focused on robust correctness, tests, and maintainability to support performance-oriented workloads and future bitmap enhancements.
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for Oct 2025: Delivered a new bitmap intersection capability in Apache Spark, improving bitmap analytics and enabling efficient set intersections across large binary datasets. Focused on robust correctness, tests, and maintainability to support performance-oriented workloads and future bitmap enhancements.
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaPythonScala
Technical Skills
Data ProcessingJavaPythonScalaSoftware DevelopmentSparkbig datadata processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
apache/parquet-java
Mar 2026 – Mar 2026
1 Month active
Languages Used
Java
Technical Skills
Data ProcessingJavaSoftware Development