• Responsible for evaluating and designing, developing, or modifying programs for internal functional areas including research and development.• Developed and maintained a robust payment processing system using Java and Spring Boot, implementing microservices architecture to handle over 3 million records efficiently.• Developed a comprehensive Automated Reporting System using Java Spring Boot, focused on generating, storing, and delivering reports to clients on a daily and biweekly basis.• Engineered secure and efficient RESTful APIs for payment initiation, status tracking, and transaction history, utilizing WebClient for asynchronous inter-service communication, which facilitated seamless communication and reduced transaction processing time by 40%.• Leveraged Spring Framework for application development, enhancing application security and reducing coupling between classes.• Designed and executed robust AWS Lambda solutions that handled over 1 million event triggers daily, ensuring high availability and fault tolerance.• Developed multiple REST APIs using spring frame work which align with microservice architecture & deployed using CFT on AWS.

• Developed and implemented RESTful APIs using Spring Boot for a scalable microservices architecture, enhancing system performance and flexibility.• Identified and resolved defects promptly, ensuring adherence to project timelines and delivering high-quality solutions to meet client requirements.• Enhanced code coverage to 80% using JUnit testing framework, ensuring comprehensive test coverage and improved code quality.• Successfully addressed and resolved 90% of major and minor issues shown by SonarQube, enhancing code maintainability and reliability.• Improved front-end code coverage to 85% using Jest framework, ensuring robust and stable user interfaces.• Migrated Lambda functions and Microservices to use AWS Queue Services for retry mechanisms, achieving 100% resilience in the payment processing workflow. • Architected an AWS State Machine to orchestrate various payment flows, improving performance by 20% and providing visual workflow representation.• Automated new feature testing using the Yantra framework, significantly reducing regression and progression testing efforts by up to 50%.• Utilized AWS services for server management, storage, and database migrations, improving system scalability and reliability.• Successfully addressed and resolved 90% of major and minor issues shown by SonarQube, enhancing code maintainability and reliability.• Designed, configured, and managed public/private cloud infrastructures using Amazon Web Services (AWS), which includes VPC, EC2, S3, Cloud Front, ELB and Elastic Beanstalk.• Enhanced code coverage to 80% using JUnit testing framework, ensuring comprehensive test coverage and improved code quality.• Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.