Worked on the nammayatri/nammayatri repository to enhance data lifecycle management in the key-value store by introducing time-to-live (TTL) functionality for keys following successful data drainage. Leveraging Haskell and Kafka, implemented a drain-dependent TTL mechanism with per-table configuration, allowing for targeted retention policies and more efficient resource utilization. This approach reduced unnecessary storage usage and improved downstream processing efficiency by ensuring that obsolete data is automatically removed after drainage events. Focused on backend development and database management, maintained system stability throughout the process and laid the foundation for broader TTL policy adoption across related services without introducing new bugs during the period.