Naveen Sriram engineered and optimized data migration pipelines for the hmcts/ARIAMigration-Databrick repository, focusing on Azure Functions and Blob Storage integration. He enhanced throughput and reliability by tuning batch sizes, implementing chunking strategies, and introducing concurrency controls using Python and YAML. Naveen refactored the Appeals data processing pipeline to support both JSON payloads and plain URLs, improving error handling and resource cleanup. His work included expanding test coverage for critical workflows and rolling back changes when stability required, demonstrating a thoughtful, iterative approach. These efforts improved deployment resilience, reduced failure rates, and laid the foundation for scalable, maintainable data integration.