During November 2025, Zyujiang focused on enhancing the reliability of Spark-based data workflows by addressing a critical bug in the apache/paimon repository. He resolved a NullPointerException that occurred when truncating Spark partitions containing null values, implementing robust null-handling logic to ensure graceful execution and prevent production crashes. This fix, delivered in Java and Scala, improved runtime stability and reduced the risk of outages in data engineering pipelines. By linking the solution to issue #6662 and providing a clear commit reference, Zyujiang strengthened traceability and maintainability. His work demonstrated depth in Spark internals and practical problem-solving in data engineering.