• Engineered 4 REST API microservices in Spring Boot (Java) and Node.js for a news leads website, leveraging MongoDB with Spring Data ORM for efficient data operations, including advanced data structure implementations • Implemented a CI/CD Pipeline with GitHub Actions to build Docker images and seamlessly deploy them to AWS ECS, ensuring efficient deployment processes with 0 manual intervention• Configured Kafka for real-time email notifications, integrated with Elasticsearch for efficient data handling, achieving latency in the range of 100ms and improving efficiency by 35%• Designed React frontend with Material-UI, Javascript and Redux, 40% fewer API calls with efficient state management

• Optimized data access and reporting by implementing Spring Boot REST APIs with Hibernate to manage ETL job logs for gas leak prediction dashboards.• Reduced load times from 3 seconds to under 200ms for extensive datasets by designing custom React components with virtual scrolling.• Enhanced traceability and real-time analysis by developing a comprehensive logging system for ETL processes, visualized through Prometheus and Grafana.• Improved database response time from 200ms to 40ms by leveraging Redis to cache responses, reducing database load by 40%.• Cut deployment time from 3 days to 8 hours and achieved 95% test coverage by automating Jenkins pipelines for SonarQube, JUnit, and Mockito tests.

• Integrated a centralized job posting feature with Java(Spring), allowing HR to publish openings on LinkedIn and other websites with asingle click, boosting recruitment reach by 50%• Spearheaded secure role-based access control with JSON Web Tokens (JWT), achieving a 25% improvement in authentication response timesby enabling stateless sessions and minimizing database queries• Utilized Docker for containerizing microservices, resulting in a 30% reduction in deployment time and seamless integration with CI/CDpipelines• Implemented Kafka event streaming to manage real-time notifications and status updates across the ATS, reducing response times by 35%and ensuring immediate feedback for candidates and recruiters on application progress• Optimized MS SQL queries and developed stored procedures to manage candidate data retrieval and status updates

▸ Completed training in Python, OOPs, Data Structures, DBMS, Microsoft SQL Server, MongoDB, SSMS, SSIS, SSAS, SSRS, and PowerBI.▸Built a KanBan board software using Excel macros.