Implemented 𝗗𝗲𝗮𝗱 𝗟𝗲𝘁𝘁𝗲𝗿 𝗤𝘂𝗲𝘂𝗲𝘀 to isolate and replay < 0.5% of failed events and drifted data, preventing pipeline blockage during complex schema conversions.

Architected a real-time validation software utilizing LSN-based watermarking to monitor Eventual Consistency and Replication Lag, ensuring 99.999% data integrity across cross-vendor ecosystems.

Spearheaded the transition to Microservices, implementing an 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 with granular 𝗧𝗼𝗸𝗲𝗻 𝗕𝘂𝗰𝗸𝗲𝘁 rate limiting policies to prevent Noisy Neighbor issues and DDoS attacks.

Optimized the Data Validation module by combining queries via 𝗔𝗽𝗮𝗰𝗵𝗲 𝗗𝗿𝗶𝗹𝗹 with 𝗖𝗗𝗖 𝘀𝘁𝗿𝗲𝗮𝗺 analysis, verifying records across 10+ database dialects and 𝗿𝗲𝗱𝘂𝗰𝗶𝗻𝗴 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝘁𝗶𝗺𝗲 𝗯𝘆 ∼31%.

Partnered with a Principal Architect to develop a predictive DB Selection Framework from scratch using 𝗣𝘆𝘁𝗵𝗼𝗻 and 𝗙𝗮𝘀𝘁𝗔𝗣𝗜; the tool analyzed I/O patterns and storage growth to identify optimal migration targets, projecting cloud infrastructure 𝘀𝗮𝘃𝗶𝗻𝗴𝘀 𝗼𝗳 ∼25%.

Secured stakeholder interest by demonstrating this framework to 10+ potential clients including 𝗔𝗡𝗭 𝗕𝗮𝗻𝗸, 𝗠𝗮𝘇𝗱𝗮, 𝗕𝗮𝗻𝗸 𝗼𝗳 𝗔𝗺𝗲𝗿𝗶𝗰𝗮, 𝗖𝗵𝗮𝗿𝗹𝗲𝘀 𝗦𝗰𝗵𝘄𝗮𝗯 and 𝗙𝗼𝗿𝗱.

Wrote clean, maintainable, and testable code following CI/CD best practices using 𝗚𝗶𝘁 and Maven while mentoring and conducting code reviews for a team of 2 junior developers.