SAI VENKATESH

Developed and restructured Java 17 and Spring Boot microservices for the Rewards platform, enabling real-time reward point processing across 5M+ monthly card transactions. Exposed reward payments, wallet top-up, and redemption workflows via RESTful APIs secured with Spring Security, OAuth 2.0, JWT, and RBAC. Decoupled payment and rewards using Apache Kafka (producers/consumer groups, DLQ, topic partitioning) to reduce reward posting latency by 70%. Reduced database read latency using optimized JPQL queries and JPA/Hibernate improvements, supporting high-concurrency access across millions of accounts. Implemented Oracle stored procedures and optimized schemas; used MongoDB for reward catalog and offer metadata. Built Angular 17 interfaces for real-time reward tracking and a Node.js/Express BFF layer to aggregate payloads. Engineered API gateway routing with AWS API Gateway and Spring Cloud Gateway and deployed services on AWS EKS with Docker. Built ETL pipelines with AWS Glue and Athena

Engineered Java 17 and Spring Boot microservices for the AbbVie R&D Convergence Hub (ARCH), streamlining drug manufacturing timelines, expiry validation, and formulation management. Developed RESTful APIs with Spring MVC and integrated legacy SOAP services using Spring WS. Built GraphQL APIs alongside REST for field-level queries to improve dashboard performance. Secured drug records and compliance documents with Spring Security (OAuth2/JWT/RBAC) and applied HIPAA-aligned access controls. Published and synchronized manufacturing and research events in real time using Apache Kafka. Built persistence layers with Spring Data JPA/Hibernate and optimized PostgreSQL schemas and indexes. Used MongoDB for flexible drug metadata and documents. Developed Node.js/Express notification services and React dashboards with Hooks/Context; validated UI with Jest, React Testing Library, and Cypress. Deployed with Docker/Kubernetes, provisioned infrastructure with Terraform, and supported multi-cloud oper

Worked on Target’s internal B2B/B2C merchandise platform for machinery parts, tools, and branded merchandise. Developed Angular and TypeScript dashboards for inventory management, order monitoring, and merchandising workflows. Contributed to a lightweight API routing layer with Spring Boot endpoints for retail inventory lookups, order status tracking, and external dealer communication. Implemented Spring Boot middleware for standardized request validation, workflow orchestration, and error handling for order processing. Secured features using Spring Security with role-based access control and audit-friendly authentication. Designed REST APIs (with OpenAPI) for product metadata and transaction history. Architected microservices with Domain-Driven Design for independent deployment and fault isolation. Integrated Google Cloud Pub/Sub for event-driven messaging and notifications. Built high-performance persistence with Spring Data JPA/Hibernate (PostgreSQL) and used MongoDB for semi-stru