• Developed and deployed over 15 microservices using Java 11 and Spring Boot, improving modularity and reducing deployment time by 30% for the trade reconciliation platform.
• Designed real-time data pipelines handling 5+ million trade records daily using Apache Kafka and Spark, resulting in a 40% improvement in processing efficiency and data throughput.
• Automated trade matching and reconciliation workflows, reducing manual reconciliation efforts by 70% and cutting average reconciliation time from 3 hours to 45 minutes.
• Implemented robust logging, audit trails, and compliance features aligned with SOX and MiFID II standards, ensuring 100% accuracy during internal and external audits.
• Collaborated with cross-functional agile teams (QA, DevOps, Product) across 5+ sprint cycles, delivering features with 98% on-time completion rate and zero critical post-release defects.
• Tuned application performance and optimized Spark jobs, resulting in a 50% reduction in job execution time and supporting 24/7 availability with less than 0.5% downtime monthly.