Ishita Chhangani

• Enhanced backend microservices using Java, Spring Boot, and REST APIs, to improve financial transaction processing reliability, to reduce API failure rates by 18%, for TurboTax and QuickBooks users. • Developed scalable frontend components using ReactJS, TypeScript, and Redux, to streamline financial reporting dashboards, to improve page load performance by 25%, for small business and self-employed customers. • Optimized database performance using PostgreSQL query tuning and Redis caching, to accelerate financial data retrieval, to reduce average query latency by 35%, for real-time accounting and reporting workflows. • Contributed to cloud-native deployments using AWS (EC2, S3, Lambda) and Docker, to enable scalable and resilient service hosting, to improve environment consistency and deployment reliability, for production systems. • Implemented CI/CD automation using GitHub Actions and Jenkins, to streamline build and deployment workflows, to reduce deployment turnaround time by 30%, for engineering release cycles. • Integrated asynchronous event handling using Kafka, to improve inter-service communication and transaction processing scalability, to enhance system stability under peak financial workloads, for platform reliability.

• Engineered scalable backend services using Java, Spring Boot, and MySQL, to manage hotel booking and inventory workflows, to support over 2 million daily booking requests, for global hospitality customers. • Built dynamic frontend applications using ReactJS, Redux, and JavaScript, to streamline hotel partner dashboards, to improve operational efficiency by 35%, for hotel owners and operations teams. • Developed RESTful APIs using Spring Boot and Node.js, to enable seamless integration between booking, pricing, and availability systems, to improve booking success rates by 18%, for customers worldwide. • Optimized data access layers using PostgreSQL indexing, query tuning, and Redis caching, to reduce database query latency by 45%, for real-time room availability and pricing engines. • Implemented distributed event streaming using Kafka, to handle booking events asynchronously, to improve system scalability and fault tolerance, for peak traffic handling during seasonal demand. • Deployed cloud infrastructure using AWS EC2, S3, and Lambda, to enable scalable backend processing and storage, to reduce operational costs by 20%, for engineering and operations teams. • Containerized and orchestrated applications using Docker and Kubernetes, to ensure high availability and horizontal scaling, to improve deployment reliability across production environments. • Automated CI/CD pipelines using GitLab CI and Jenkins, to streamline testing and deployment workflows, to reduce deployment failures by 40%, for faster product releases. • Enhanced system observability using logging, monitoring, and performance profiling tools, to proactively identify bottlenecks, to improve incident resolution time by 50%, for platform stability. • Collaborated with cross-functional teams using Agile and Scrum methodologies, to deliver scalable features aligned with business priorities, to accelerate feature delivery timelines, for global product rollouts.

• Developed backend modules using Java and Spring Boot, to support core trading and portfolio management workflows, to enable reliable processing of client investment transactions, for retail and institutional trading platforms. • Built responsive user interface components using Angular, HTML, CSS, and JavaScript, to improve usability of trading dashboards, to enhance user experience and accessibility, for internal advisors and customers. • Implemented RESTful APIs using Spring Boot, to enable seamless communication between frontend applications and backend services, to ensure efficient and secure financial data exchange, for web-based trading systems. • Wrote optimized SQL queries and stored procedures using MySQL, to retrieve and manage financial transaction data efficiently, to reduce data retrieval time by 20%, for reporting and portfolio tracking features. • Assisted in debugging and resolving production issues using Java debugging tools and log analysis, to identify root causes quickly, to improve system stability and minimize downtime, for critical trading operations. • Integrated backend services with frontend applications using REST APIs and JSON, to enable real-time portfolio updates and transaction visibility, to improve system responsiveness, for end users and financial advisors. • Contributed to application deployments using Jenkins and Git, to automate build and deployment workflows, to reduce manual deployment effort and improve release reliability, for development and QA teams. • Applied object-oriented programming principles and design patterns, to develop modular and maintainable code, to improve code quality and long-term scalability, for enterprise fintech applications. • Participated in Agile development processes including sprint planning, daily stand-ups, and code reviews, to ensure timely delivery of assigned features, to align development with business requirements, for trading platform enhancements.