Worked on enhancing storage efficiency and reliability for Spark on Kubernetes by developing the PVC Reuse Enhancement for Larger Capacity in the apache/spark repository. This feature enabled the reuse of persistent volume claims with equal or greater capacity, supporting dynamic volume expansion and reducing over-provisioning in cloud environments. The approach involved updating the replacePVCsIfNeeded logic and adding comprehensive unit tests to validate the new behavior and prevent regressions. Leveraged expertise in Kubernetes, Scala, and cloud computing to align storage handling with Kubernetes Volume Expansion, ultimately improving resilience, preserving shuffle data during expansion, and lowering cloud storage costs for Spark workloads.