Sri Sai Teja Narra

Led development of enterprise healthcare applications processing 2M+ monthly patient/member transactions using Java (Spring Boot, Hibernate) and Angular for provider and member interfaces. Designed and optimized RESTful APIs and microservices enabling real-time data exchange across claims processing, eligibility, billing, and compliance. Migrated legacy platforms to a hybrid AWS cloud (Elastic Beanstalk, SQS, Secrets Manager) to boost scalability, reliability, and security. Strengthened security and HIPAA/HITECH alignment with OAuth2/JWT, AWS Cognito, IAM, and AES-256 encryption. Improved claims processing speed by 30-40% via SQL tuning, Redis caching, and asynchronous messaging; reduced API response times from ~1.5s to under 800ms. Automated deployments with CI/CD pipelines (Jenkins, GitHub Actions, Docker, Kubernetes, AWS CodePipeline/CodeDeploy), cutting release effort by 60% across environments. Collaborated with a 12-person Agile team to deliver regulatory features within tight re

Contributed to the development of enterprise healthcare applications processing 2M+ monthly patient/member transactions, using Java (Spring Boot, Hibernate) for backend services and Angular for provider and member-facing interfaces. Designed and optimized RESTful APIs and microservices, enabling real-time data exchange across claims processing, eligibility, billing, and compliance systems. Migrated legacy platforms to a hybrid cloud environment (AWS) utilizing Elastic Beanstalk, SQS, and Secrets Manager to improve scalability, reliability, and security. Enhanced security and compliance by implementing OAuth2/JWT, AWS Cognito integration, IAM policies, AES-256 encryption, aligning with HIPAA and HITECH regulations for PHI protection. Improved claims and transaction processing speed by 30–40% through SQL tuning, Redis caching, and asynchronous message handling, reducing API response times from ~1.5s to under 800ms. Automated deployments by optimizing CI/CD pipelines (Jenkins, GitHub Ac

Contributed to the development of enterprise healthcare applications processing 2M+ monthly patient/member transactions, using Java (Spring Boot, Hibernate) for backend services and Angular for provider and member-facing interfaces. Designed and optimized RESTful APIs and microservices, enabling real-time data exchange across claims processing, eligibility, billing, and compliance systems. Migrated legacy healthcare platforms to a hybrid cloud environment (AWS), utilizing Elastic Beanstalk, SQS, and Secrets Manager to improve scalability, reliability, and security of clinical and administrative applications. Enhanced security and compliance by implementing OAuth2/JWT, AWS Cognito integration, IAM policies, AES-256 encryption, aligning with HIPAA and HITECH regulations for PHI protection. Improved claims and transaction processing speed by 30–40% through SQL tuning, Redis caching, and asynchronous message handling, reducing API response times from ~1.5s to under 800ms. Automated deplo