Oct 2023 – Present · 2 yrs 8 mos

• Backend engineer responsible for designing and delivering scalable financial systems, batch pipelines, and automation solutions.
• Automated Excel-based reconciliation by building a Spring Batch pipeline with chunk-oriented processing, skip/retry policies, and custom partitioning for parallel execution across data segments; eliminated 10 hours/week of manual effort and cut calculation errors by 90%.
• Architected the CASS Shortfall Detection Tool as a Spring Boot backend with a layered service architecture, optimized SQL repository queries, and transactional processing; improved reconciliation efficiency by 60%.
• Designed and operated high-volume Spring Batch reporting pipelines processing 1,000,000+ rows/events daily using multi-threaded execution, HikariCP tuning, and JPA batch insert optimization to meet strict SLA windows.
• Drove on-premise to GCP migration for Spring Boot microservices by containerizing services with Docker, provisioning infrastructure with Terraform, orchestrating ETL workflows in Apache Airflow, and configuring Cloud SQL with read replicas; cut deployment time by 50%.
• Designed a reusable data-archival library as an internal Spring Boot starter with configurable retention policies and cursor-based pagination for batch deletes; adopted across 5+ teams and reduced storage costs by 25%.
• Established reusable architectural patterns using Strategy and Template Method to externalize variable processing logic and simplify onboarding of new report types.

Oct 2022 – Oct 2023 · 1 yr

• Owned 25 Spring Boot production reporting services end-to-end by resolving N+1 queries, introducing database-level pagination, and adding connection pool monitoring; improved report availability to 99.6% and cut production incidents by 45%.
• Led OSS remediation across 12 Spring Boot applications by triaging transitive dependencies, resolving CVE conflicts, and executing Java 8 to Java 17 migration; strengthened security posture and modernized legacy code paths.
• Contributed to decomposing a monolithic reporting application into domain-bounded Spring Boot microservices, introducing service contracts and an anti-corruption layer for legacy data access; improved release frequency and fault isolation.

Jul 2021 – Oct 2022 · 1 yr 3 mos

• Built an event-driven notification service using Spring Boot and Kafka with topic partitioning, idempotent message processing, and dead-letter handling; reduced downstream latency by 40%.
• Contributed to backend services and reporting pipelines by adding structured logging with correlation IDs, Micrometer-based metrics for throughput monitoring, and SQL query optimizations through execution plan analysis and composite indexes.