Jaswanth Reddy Botta

Developed enterprise-grade microservices with Spring Boot and Java, building RESTful APIs that process over 8 million financial transactions daily with 99.9% uptime across distributed systems. Leveraged AI-powered automation tools to streamline development workflows, automating code review processes and reducing manual testing workload by 35% while maintaining high code quality standards. Built robust ETL pipelines using Spark to transform and validate financial data, reducing processing time by 30% and enabling real-time analytics for business intelligence dashboards. Deployed containerized microservices on Kubernetes across multi-region infrastructure, supporting 12 business-critical financial operations with zero-downtime deployments and automated rollback capabilities. Established comprehensive testing frameworks with JUnit and Mockito, increasing code coverage to 85% and reducing production bugs by 28% across the payment platform through automated unit and integration tests. Optim

Developed RESTful APIs and data processing solutions to support financial reporting systems, leveraging Spring Framework, Apache Spark, and PostgreSQL. Implemented automated data validation pipelines and monitoring to ensure data integrity and timely reporting. Collaborated with cross-functional teams to refactor legacy applications to modern Spring Boot architecture, reducing technical debt and improving maintainability.

Built comprehensive data analytics platforms with Apache Spark, creating ETL pipelines for real-time financial insights serving 12 internal departments. Optimized PostgreSQL queries and data structures to reduce report generation time by 38%. Designed microservices with Spring Boot and Docker to orchestrate data integration across 8 enterprise systems with data accuracy and compliance. Implemented monitoring with AWS CloudWatch and automated alerting, achieving improved financial monitoring efficiency. Refactored legacy applications to modern Spring Boot architecture to reduce deployment complexity and technical debt.