Chandra Shekar
Sr. Java Full Stack Developer | 8+ Years | Java, React, AWS, Azure, Microservices | Building Scalable Enterprise Applications
- Role
- Sr Java Full Stack Developer at Deutsche Bank
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Chandra Shekar
Senior Java Full Stack Developer with over 8 years of experience delivering…
Experience
Sr Java Full Stack Developer
Sep 2024 — Present · NY, US
Designed and developed backend microservices using Java, Spring Boot, Hibernate, and REST APIs, improving modularity, scalability, and performance.• Built and optimized Apache Spark jobs for reconciliation, validation, and large-scale data aggregation, ensuring accuracy and compliance across datasets.• Developed and integrated RESTful services using JAX-RS, Jackson, and Swagger, enabling seamless communication between distributed applications.• Created custom Node.js scripts for API routing, response handling, and automation of backend workflows, reducing manual intervention and latency.• Implemented JMS messaging using Tibco EMS and Spring JMS to support asynchronous processing, improving reliability and fault tolerance.• Designed and deployed scalable AWS infrastructure (EC2, RDS, S3), supporting high-traffic loads and improving uptime and system availability by 30%.• Optimized database queries and indexing strategies in Oracle, PostgreSQL, and MongoDB, improving API response times and overall system performance.• Automated and managed batch workflows using AutoSys and UNIX/Linux scripts, ensuring reliable scheduling and execution of critical jobs.• Led CI/CD pipeline development using Jenkins, Maven, Docker, and Git, streamlining deployment cycles and reducing production errors.• Engineered high-performance, parallelized financial computation and batch reconciliation workflows for derivative accounts, ensuring accuracy, scalability, and optimized reporting.• Engineered large-scale financial data pipelines in Scala using Apache Spark, optimizing parallel processing, job orchestration, and performance tuning for high-volume batch computations.• • Mentored junior developers, establishing best practices for microservices, Spark processing, and API design to improve team productivity.• Automated data orchestration and batch workflows using Shell and Python scripts, enhancing system efficiency and process reliability.
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