Naveen Sriram contributed to the hmcts/ARIAMigration-Databrick repository by engineering robust data migration and processing pipelines using Python, Azure Functions, and Azure Blob Storage. He enhanced throughput and reliability by tuning batch sizes, implementing chunking, and introducing concurrency controls, while maintaining system stability through careful rollback and incremental rollout strategies. Naveen refactored the Appeals data pipeline to support both JSON payloads and plain URLs, improving error handling and resource cleanup. His work included expanding test coverage and deployment lifecycle automation, resulting in more resilient, maintainable, and scalable data integration workflows that reduced failure rates and improved migration performance.