During a two-month period, Sztegi contributed targeted enhancements to open-source data platforms, focusing on both dependency management and geospatial analytics. In the apache/paimon repository, Sztegi upgraded the Apache Parquet library across multiple modules, ensuring up-to-date dependencies and maintaining compliance by updating project notices. Shifting to the apache/hive repository, Sztegi implemented the ST_DistanceSphere function in Java, enabling Hive to compute great-circle distances between geospatial points. This addition expanded Hive’s analytics capabilities, supporting new location-aware queries for data workloads. Sztegi’s work demonstrated proficiency in Java, Hadoop, and build tools, delivering focused, well-scoped features that improved maintainability and analytical functionality.