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Senior Java Engineer with 4+ years in Spring Boot & Microservices
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Senior Java Backend Developer with 4+ years of experience designing scalable, cloud-native Spring Boot microservices. Proven track record migrating 47,000+ legacy forms to a modern cloud-based architecture, eliminating 67,000+ manual work hours through backend automation. Deep expertise in REST API development, GraphQL integration, Spring Expression Language (SpEL) parsing engines, AWS Lambda and S3 event-driven pipelines, and CI/CD automation using Jenkins and Maven.
Vaageswari College of Engineering
Bachelor of Technology · Computer Science and Engineering
August 1, 2017 – June 30, 2021
Capgemini
Associate Consultant, Java Backend Developer
September 1, 2021 – Present
Hyderābād, Telangana, India
Migration of Legacy POH Platform
June 1, 2023 – Present
Architected and developed Spring Boot microservices to transform 47,000+ legacy POH expression-based forms into dynamic SpEL-driven digital forms, eliminating 67,000+ manual work hours and enabling enterprise-scale digital transformation. Built a high-throughput automated conversion pipeline processing XML and JSON inputs with sub-6-second processing time per form, supporting batch migration at enterprise scale. Designed an event-driven serverless architecture on AWS S3 and AWS Lambda; bulk drops of up to 500 forms triggered Lambda functions that auto-converted and re-uploaded transformed output to S3, requiring zero infrastructure intervention. Developed and maintained REST APIs and integrated GraphQL endpoints for efficient, flexible backend data retrieval across distributed microservices. Engineered a Java-based expression parsing engine using Spring Expression Language (SpEL) for real-time dynamic rule evaluation, supporting complex conditional form logic. Built a high-performance bulk asset uploader validating JSON metadata and processing 10,000+ digital assets with structured error handling and transactional integrity. Implemented structured logging using Log4j and Kibana, and maintained Jenkins and Maven CI/CD pipelines for automated build, test, and deployment workflows.
Fee Management System
December 1, 2021 – May 31, 2023
Developed a scalable Java/Spring Boot backend for managing configurable fee structures and multi-account payment processing, supporting partial payments and automated balance reconciliation. Implemented full CRUD operations on fee structures, user payments, and transaction records using Spring Data JPA and MySQL, ensuring transactional consistency and data integrity. Designed and built REST APIs for fee management workflows; automated balance calculation and payment-status updates, reducing manual reconciliation effort by 80%. Deployed and maintained the application on Apache Tomcat; resolved production defects and maintained high system availability throughout the engagement.
Cultural Fit Analysis
The candidate's experience with diverse projects (legacy migration, fee management) and a range of modern technologies (microservices, serverless, GraphQL, Docker, Kubernetes) suggests adaptability and a willingness to embrace new challenges. The focus on enterprise-scale solutions and efficiency improvements aligns with a results-driven culture. The role as an 'Associate Consultant' at Capgemini implies experience in client-facing or project-based environments, which often requires strong collaboration and communication skills.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, particularly in optimizing legacy systems and automating complex workflows. The ability to design and implement event-driven architectures suggests strong analytical and design thinking. The mention of maintaining CI/CD pipelines and resolving production defects indicates a commitment to operational excellence and reliability. The quantified achievements demonstrate a results-oriented approach.