Gowtham S Email & Phone Number

Bengaluru, KA, IN

Bengaluru, Karnataka, India

• 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.

Bengaluru, Karnataka, India

• 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.
• Implemented continuous integration and deployment using Bamboo and Docker, resulting in a 40% reduction in deployment time and a 60% improvement in application performance.