Available to hire
Hi, I’m Lakshmi Venkata Ramya Annam, a results-driven Full-Stack Java Developer with 5+ years of experience designing and deploying scalable microservices-based applications. I specialize in Spring Boot, AWS, Docker/Kubernetes, and modern front-end frameworks, driving performance gains and reducing deployment times. I enjoy building secure, high-availability systems capable of handling millions of daily requests in fast-paced environments.
Outside of project work, I value clean code, collaborative teams, and continuous learning. I leverage cloud, containerization, and automation to accelerate delivery and improve system reliability, while staying focused on user experience and data-driven insights. I also embrace AI-assisted development tools to boost productivity and code quality.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
Javanese
Fluent
Work Experience
Full Stack Developer at Walmart
January 1, 2024 - PresentImplemented a microservices-based solution using Java (Spring Boot, J2EE, Spring Cloud) to facilitate independent deployments and modular service management, enhancing flexibility and maintainability. Managed containerized microservices with Docker and established CI/CD pipelines using Jenkins, performing thorough testing with JUnit and Mockito to ensure high performance and zero downtime. Leveraged Azure services including VMs, Blob Storage, Functions, and SQL Database to optimize compute and storage resources. Integrated Redis caching and MongoDB to improve application speed and manage large-scale unstructured data. Established security protocols with Spring Security, OAuth2 authentication, and RBAC to safeguard APIs and protect sensitive user data.
Software Engineer at Data Foundry (Medidata)
December 31, 2022 - August 18, 2025Led development of a cloud-based microservices architecture using Java Spring Boot and Spring MVC ensuring scalability and high availability of backend services. Architected and optimized RESTful APIs with AWS API Gateway for secure management and integrated asynchronous messaging for real-time data processing. Implemented data persistence using Hibernate ORM and optimized queries with PL/SQL, enhancing performance. Improved data access speed with Spring JDBC and multithreading. Conducted unit and end-to-end testing with JUnit and Cucumber, using Log4j for logging. Managed deployments on AWS EC2 and Docker containers with CI/CD automation through Jenkins and AWS CodePipeline.
Software Engineer at Data Foundry (Medidata)
December 31, 2020 - August 18, 2025Architected Mwarehouse OLAP system using Java Spring Boot microservices to manage clinical trial data with scalable, fault-tolerant RESTful APIs. Developed ETL pipelines using Pentaho Data Integration automating high-volume data processing from diverse sources, improving data accuracy and efficiency. Automated production database operations with PL/SQL scripting and job scheduling. Created responsive user interfaces using React and JavaScript integrated with backend microservices. Containerized microservices with Docker, orchestrated using AWS ECS and Fargate, utilizing AWS RDS for database management and AWS S3 for secure storage.
Full Stack Developer at Walmart
January 1, 2024 - PresentImplemented a microservices-based solution using Java (Spring Boot, J2EE, Spring Cloud) to enable independent deployments and horizontal scaling, enhancing system flexibility. Managed containerized microservices with Docker, set up automated CI/CD pipelines using Jenkins, and ensured zero downtime during releases with JUnit and Mockito testing. Utilized Azure services including VMs, Blob Storage, Functions, and SQL Database to optimize resources and enable serverless architectures. Improved application responsiveness by integrating Redis caching and MongoDB for unstructured data management. Established security protocols using Spring Security with OAuth2 and RBAC to protect API access and sensitive user information.
Software Engineer at Data Foundry (Medidata)
December 31, 2022 - August 20, 2025Led development of a cloud-based microservices architecture using Java, Spring Boot, and Spring MVC to ensure scalability and high availability. Architected and optimized RESTful APIs with AWS API Gateway and integrated asynchronous communication via message queues. Applied Hibernate ORM for data persistence, optimizing with caching and lazy loading. Developed complex SQL queries and procedures in PL/SQL, leveraging AWS RDS for database scaling and maintenance. Enhanced concurrency using Spring JDBC Template, JDBC, and multithreading. Maintained code quality via JUnit unit tests and Cucumber end-to-end tests, with Log4j for logging. Managed deployment of microservices on AWS EC2 and containerized environments with Docker, automating CI/CD pipelines with AWS CodePipeline and Jenkins.
Software Engineer at Data Foundry (Medidata)
December 31, 2020 - August 20, 2025Architected the Mwarehouse OLAP system using microservices architecture and Java Spring Boot, developing scalable RESTful APIs for clinical trial data management. Designed complex ETL pipelines with Pentaho Data Integration to automate processing of high-volume data from various sources, improving accuracy and efficiency. Automated production database operations using PL/SQL scripting and job scheduling. Developed interactive user interfaces using React and JavaScript integrated with backend microservices. Containerized microservices using Docker and orchestrated deployments with AWS ECS and Fargate. Utilized AWS RDS for database management and AWS S3 for secure data storage.
Full Stack Developer at Walmart
January 1, 2024 - PresentArchitected and deployed microservices using Java (Spring Boot, J2EE, Spring Cloud), improving modularity and enabling zero-downtime deployments. Implemented Docker-based containerization with Jenkins CI/CD, reducing deployment time by 35%. Leveraged Azure services (VMs, Blob Storage, Functions, SQL DB) to implement serverless patterns, reducing infrastructure costs by 20%. Enhanced performance with Redis caching and MongoDB, reducing API response latency by 60% under peak loads. Strengthened application security via Spring Security OAuth2 + RBAC. Created interactive React-based UIs for data visualization. Accelerated development cycles by 30% using GitHub Copilot.
Software Engineer at Data Foundry (Medidata)
December 1, 2022 - September 22, 2025Led cloud-based microservices migration using Spring Boot, boosting platform scalability and availability. Built and optimized RESTful APIs with Amazon API Gateway and asynchronous messaging, enabling near real-time data processing. Applied Hibernate with caching and lazy loading, cutting database response times by 45%. Automated deployments using Docker, AWS CodePipeline, and Jenkins, achieving smooth CI/CD and improved release frequency. Ensured code quality and application stability through extensive unit testing with JUnit and automated end-to-end testing with Cucumber, utilizing Log4j for advanced logging and error tracking. Implemented PL/SQL scripts and AWS RDS for automated scaling and nightly batch updates, reducing manual ops by 40%.
Software Engineer at Data Foundry (Medidata)
December 1, 2020 - September 22, 2025Designed and delivered OLAP-based Data Warehouse system for clinical trial data using Spring Boot microservices. Developed ETL pipelines with Pentaho Data Integration to automate multi-source data loads, reducing processing time by 50%. Automated and optimized production database operations using advanced PL/SQL scripting and job scheduling, reducing manual intervention and enhancing system performance for real-time data updates and nightly batch processes. Deployed on AWS ECS + AWS Fargate with Docker for auto-scaling container orchestration.
Full Stack Developer at Walmart
January 1, 2024 - PresentArchitected and deployed microservices using Java (Spring Boot, J2EE, Spring Cloud), enabling zero-downtime deployments; containerized with Docker and Jenkins CI/CD, reducing deployment time by 35%; leveraged Azure serverless patterns to cut infra costs by 20%; improved API latency by 60% with Redis caching and MongoDB; secured APIs with Spring Security OAuth2 + RBAC; built React-based UIs and accelerated development by 30% with GitHub Copilot.
Software Engineer at Data Foundry (Medidata)
December 31, 2022 - October 14, 2025Led cloud-based microservices migration using Spring Boot, boosting platform scalability and availability. Built RESTful APIs with Amazon API Gateway and asynchronous messaging for near real-time data processing. Applied Hibernate with caching and lazy loading, improving database response times by 45%. Automated deployments using Docker, AWS CodePipeline, and Jenkins, achieving smoother CI/CD and improved release frequency. Ensured code quality with JUnit and automated end-to-end testing with Cucumber, with Log4j for logging and error tracking. Implemented PL/SQL scripts and AWS RDS for automated scaling and nightly batch updates, reducing manual ops by 40%.
Software Engineer at Data Foundry (Medidata)
December 31, 2020 - October 14, 2025Designed and delivered OLAP-based data warehouse solutions for clinical trials using Spring Boot microservices. Developed ETL pipelines with Pentaho Data Integration to automate multi-source data loads, reducing processing time by 50%. Automated and optimized production database operations using advanced PL/SQL scripting and job scheduling, reducing manual intervention and enhancing real-time data updates and nightly batch processing. Deployed on AWS ECS + AWS Fargate with Docker for auto-scaling container orchestration.
Full Stack Developer at Walmart
January 1, 2024 - October 27, 2025Architected and deployed microservices using Java (Spring Boot, J2EE, Spring Cloud) to improve modularity and enable zero-downtime deployments. Integrated Docker-based containerization with Jenkins CI/CD, cutting deployment time by 35% and ensuring consistent production releases. Leveraged Azure services (VMs, Blob Storage, Functions, SQL DB) to implement serverless patterns, reducing infrastructure costs by 20%. Enhanced performance with Redis caching and MongoDB, reducing API response latency by 60% under peak loads. Strengthened application security via Spring Security OAuth2 + RBAC, preventing unauthorized access to sensitive APIs. Created interactive React-based UIs for improved user engagement and data visualization. Accelerated development cycles by 30% using GitHub Copilot for code suggestions, test generation, and debugging.
Software Engineer at Data Foundry (Medidata)
December 1, 2022 - December 1, 2022Led cloud-based microservices migration using Spring Boot, boosting platform scalability and availability. Built and optimized RESTful APIs with Amazon API Gateway and asynchronous messaging, enabling near real-time data processing. Applied Hibernate with caching and lazy loading, cutting database response times by 45%. Automated deployments using Docker, AWS CodePipeline, and Jenkins, achieving smooth CI/CD and improved release frequency. Ensured code quality and application stability through extensive unit testing with JUnit and automated end-to-end testing with Cucumber, utilizing Log4j for advanced logging and error tracking. Implemented PL/SQL scripts and AWS RDS for automated scaling and nightly batch updates, reducing manual ops by 40%.
Software Engineer at Data Foundry (Medidata)
December 1, 2020 - December 1, 2020Designed and delivered OLAP-based Mwarehouse system for clinical trial data using Spring Boot microservices. Developed ETL pipelines with Pentaho Data Integration to automate multi-source data loads, reducing processing time by 50%. Automated and optimized production database operations using advanced PL/SQL scripting and job scheduling, reducing manual intervention and enhancing system performance for real-time data updates and nightly batch processes. Deployed on AWS ECS + AWS Fargate with Docker for auto-scaling container orchestration.
Education
Master of Science at Auburn University at Montgomery
January 1, 2023 - May 1, 2024Master of Science at Auburn University at Montgomery
January 1, 2023 - May 1, 2024Master of Science at Auburn University at Montgomery
January 1, 2023 - May 1, 2024Master of Science at Auburn University at Montgomery
January 1, 2023 - May 1, 2024Master of Science at Auburn University at Montgomery
January 1, 2023 - May 1, 2024Qualifications
Industry Experience
Software & Internet, Healthcare, Retail, Life Sciences, Professional Services, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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