With over four years of experience as a Full Stack Software Engineer, I have consistently delivered high-performance, scalable, and reliable solutions across financial trading, payments, and enterprise card systems. I bring deep expertise in Java, Spring Boot, React, distributed systems, FIX protocol integrations, and cloud-native architectures—along with a results-driven mindset and the ability to deliver under tight deadlines. In my role at Enfusion, I contributed to building a multi-server Order Execution Management System (OEMS) using Spring Boot and FIX (QuickFix/J), enabling real-time order processing across multiple asset classes. I optimized server performance by 80% using distributed Ignite caching, improved pre-trade compliance efficiency by 10%, and implemented Kubernetes-based deployments for scalable distributed environments. Additionally, I enhanced integration test reliability by cross-connecting local environments with Kubernetes pods, reducing test failures by 25%. My responsibilities also extended to monitoring using Datadog/Grafana and strengthening code quality using JUnit, Mockito, AssertJ, and the ELK stack. During my tenure at Discover Financial Services, I delivered multiple high-impact projects across payments and card platforms. I led Apple Pay integration by building a React + TypeScript application in collaboration with Apple Japan, achieving 95% test coverage through Playwright and RTL. I also optimized a Spend Analyzer application by improving data retrieval speed by 40% and modernizing the front end with React, Redux, and D3.js. Furthermore, I developed scalable Spring Boot microservices, integrated Hibernate–PostgreSQL, and implemented CI/CD pipelines using Git, Jenkins, PCF, AWS Lambda, and Cloudflare CDN for automated deployments across SIT, UAT, and production environments. Beyond backend and frontend engineering, I have containerized monorepos using Docker for efficient deployment to Kubernetes pods and built automation dashboards using React, Redux Toolkit, Python, and in-house AI models—reducing support issues by 30%. I am confident that my hands-on experience in distributed systems, low-latency trading workflows, cloud deployments, and modern full-stack development aligns strongly with the needs of your team.…With over four years of experience as a Full Stack Software Engineer, I have consistently delivered high-performance, scalable, and reliable solutions across financial trading, payments, and enterprise card systems. I bring deep expertise in Java, Spring Boot, React, distributed systems, FIX protocol integrations, and cloud-native architectures—along with a results-driven mindset and the ability to deliver under tight deadlines. In my role at Enfusion, I contributed to building a multi-server Order Execution Management System (OEMS) using Spring Boot and FIX (QuickFix/J), enabling real-time order processing across multiple asset classes. I optimized server performance by 80% using distributed Ignite caching, improved pre-trade compliance efficiency by 10%, and implemented Kubernetes-based deployments for scalable distributed environments. Additionally, I enhanced integration test reliability by cross-connecting local environments with Kubernetes pods, reducing test failures by 25%. My responsibilities also extended to monitoring using Datadog/Grafana and strengthening code quality using JUnit, Mockito, AssertJ, and the ELK stack. During my tenure at Discover Financial Services, I delivered multiple high-impact projects across payments and card platforms. I led Apple Pay integration by building a React + TypeScript application in collaboration with Apple Japan, achieving 95% test coverage through Playwright and RTL. I also optimized a Spend Analyzer application by improving data retrieval speed by 40% and modernizing the front end with React, Redux, and D3.js. Furthermore, I developed scalable Spring Boot microservices, integrated Hibernate–PostgreSQL, and implemented CI/CD pipelines using Git, Jenkins, PCF, AWS Lambda, and Cloudflare CDN for automated deployments across SIT, UAT, and production environments. Beyond backend and frontend engineering, I have containerized monorepos using Docker for efficient deployment to Kubernetes pods and built automation dashboards using React, Redux Toolkit, Python, and in-house AI models—reducing support issues by 30%. I am confident that my hands-on experience in distributed systems, low-latency trading workflows, cloud deployments, and modern full-stack development aligns strongly with the needs of your team.WWWW…