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Engineered resilient, high-throughput financial microservices using Java, Spring Boot, and Kafka for real-time transaction processing supporting over 100 global markets. Modernized legacy batch-to-stream data pipelines with Apache Spark and AWS services, cutting processing latency by 55%. Developed responsive, accessible customer interfaces with React.js and Tailwind CSS, enhancing client satisfaction by 30%. Deployed infrastructure as code via Terraform integrated with automated CI/CD pipelines across multi-region AWS environments. Strengthened API security protocols achieving 100% compliance and reduced security incident reports by 35%. Improved system reliability with real-time monitoring and alerting, reducing mean-time-to-recovery by 40%. Delivered high test coverage to reduce QA cycles and defects, while optimizing trading modules in C++.

Developed scalable, high-performance web applications using Django and PostgreSQL, improving database responses and user satisfaction substantially. Built responsive front-end components with React.js and Tailwind CSS increasing mobile engagement by 42%. Created secure RESTful APIs leveraging Django Rest Framework and JWT, achieving full data confidentiality compliance. Automated deployments with GitHub Actions and Azure DevOps pipelines reducing deployment time by 60%. Containerized legacy monolithic applications into microservices with Docker, enhancing scalability and reducing downtime. Implemented real-time inventory alert systems using Web Sockets and triggers, drastically reducing stock-out incidents. Developed internal utilities with Qt and C++ to automate workflows and led agile meetings improving sprint velocity by 22%.