• Independently designed, developed, and deployed a comprehensive high-performance java application leveraging the latest versions of Java and Spring Boot.• Implemented a centralized error handling mechanism within Spring Boot, leading to a 20% decrease in error instances and facilitating faster issue resolution.• Collaborated closely with team lead and project managers to understand business requirements and deliver software solutions within project timelines, achieving a 25% increase in project completion rate.• Replaced SFTP servers with AWS S3 in the codebase, ensuring smooth and flexible file operations in the AWS cloud environment, reducing file transfer time by 50%, and achieving a 60% cost reduction in storage. • Implemented tokenization and detokenization of PHI/PII data at the codebase, following the migration of the database to the cloud, ensuring compliance and • data security, leading to a 95% reduction in data breach incidents.• Automated the triggering of the application at specific intervals using Spring Batch, improving efficiency and reducing manual intervention, resulting in a 40% reduction in manual intervention time. • Identified and mitigated path traversal attacks in the codebase, implementing secure file handling mechanisms to prevent unauthorized access to sensitive files, resulting in a 90% decrease in security vulnerabilities.• Resolved performance issues by optimizing response time and enhancing overall system efficiency, resulting in a 25% improvement in system performance metrics.• Contributed to the overall enhancement of the application by implementing code improvements and optimizations, resulting in a 20% increase in code efficiency.• Upheld code quality standards through rigorous code reviews and adherence to coding standards, resulting in a 30% reduction in post-release defects and a 15% improvement in code maintainability.

• Led the refactoring and migration of a legacy IBM WAS application to Spring Boot microservices, resulting in a 30% reduction in response time and a 40% increase in system efficiency.• Upgraded Java, Spring, and Hibernate versions for seamless AWS deployment, reducing deployment failures by 80% and increasing system availability by 15%. • Replaced XML-based configuration with Java bean configuration, enhancing maintainability by 40% and reducing configuration errors by 60%.• Migrated Dynacache to Redis cache at the codebase, ensuring a smooth transition to AWS and optimizing cache performance, resulting in a 50% reduction in cache retrieval time. • Collaborated with UAT and Performance teams to analyze and address behavior, response, and performance differences between on-prem and cloud environments, achieving a 25% improvement in application reliability and a 20% increase in scalability.• Implemented continuous integration and deployment using Bamboo and Docker, resulting in a 40% reduction in deployment time and a 60% improvement in application performance.• Automated testing using JUnit and Mockito, leading to a 15% more increase in test coverage and 25% decrease in post-release defects.• Debugged and fixed numerous defects in the codebase, improving application stability by 70% and reducing reported defects by 50%, resulting in a 30% decrease in post-release incidents.