Worked on enhancing Apache Paimon by implementing date-based partitioning support in the core partition-management system. Focused on enabling workflows that rely on DATE type partition columns, this work improved data lifecycle control and allowed for more flexible data extraction and manipulation based on date values. The approach involved updating the expire_partitions procedure and validating the new functionality through comprehensive end-to-end unit tests. Using Java and leveraging data processing expertise, the developer enabled partition pruning on date columns, which streamlined query planning and data management. No major bugs were reported, reflecting a focus on robust feature delivery and thorough validation.