Rajasekhar Reddy K

Java Full Stack Developer @Wells Fargo

San Francisco, CA, US

Developing and deploying scalable Spring Boot microservices to handle real-time ACH, wire and peer-to-peer payment transactions using Kafka and PostgreSQL, improving transaction throughput by 35%.• Integrating frontend with backend APIs using AJAX and secure JWT-based authentication, while coordinating error-handling mechanisms through Swagger API docs and Postman testing.• Leveraging Docker and Kubernetes for microservice deployment across AWS environments (EKS, ECS), with infrastructure provisioning automated through Terraform.• Following Agile/Scrum methodologies and conducted unit testing (JUnit/Mockito), code quality enforcement via SonarQube and CI/CD pipeline management using Jenkins, Git, Bitbucket and Maven.• Designing and implementing full-stack applications using Java, Spring Boot, Spring MVC and REST APIs, with frontend development in React, Redux and TypeScript for responsive, dynamic UIs.• Building rich UI dashboards using Angular, HTML5, Bootstrap and RxJS for real-time transaction monitoring, fraud detection and operational alerts, enhancing user response time by 40%.• Applying Node.js, Python and Bash/Shell scripting for backend scripting, automation tasks and integrations with external APIs and AWS services such as DynamoDB, S3 and Lambda.• Managing databases including MongoDB, MySQL, Cassandra, PostgreSQL and NoSQL for persistence, data modeling and complex query optimization in distributed systems.• Deploying cloud-native applications on AWS using EC2, EKS, CloudFormation and Terraform, enabling 50% faster infrastructure provisioning and reducing manual deployment errors.• Utilizing GitHub, Bitbucket, Jenkins, Gradle, Maven and CI/CD pipelines for continuous integration and delivery, with robust monitoring and logging implemented on Linux/UNIX environments.

KL University

B.Tech, Computer Science

Narayana Junior College - India

Intermediate, MPC

Bhashyam High School

SSC

California State University-Sacramento

Master of Science - MS, Computer Science