During April 2026, contributed to the apache/pinot repository by delivering PercentileTDigest aggregation support for MergeAndRollup workflows, enabling more accurate percentile analytics on large-scale rollup pipelines. Developed a new aggregator class in Java, focusing on backend data processing and ensuring correctness through comprehensive unit testing. The implementation included enhancements to the task generator to enforce compression factor validation for the new aggregation type. This work improved the reliability and accuracy of percentile dashboards within Pinot’s analytics infrastructure. The approach demonstrated strong skills in Java, test-driven development, and continuous integration, with all changes tracked in a dedicated commit for transparency.