Sai Nath Myana

About Sai Nath Myana

I\'m a Software Engineer at Walmart Global Tech, specializing in building scalable and secure systems using Java Spring Boot, Spring Batch, JPA/Hibernate, and Kafka. My work involves designing microservices, developing RESTful APIs, implementing authentication/authorization flows (OAuth 2.0, SAML), and building data pipelines that extract, validate, and process data from source systems. I have experience deploying containerized applications using Docker and Kubernetes, and automating builds and deployments with CI/CD pipelines. I follow strong testing practices using JUnit, TestNG, and Rest Assured to ensure system reliability. Currently, I’m exploring the intersection of software engineering and AI — building intelligent workflows using Retrieval-Augmented Generation (RAG) and LLM-based agents to bring reasoning and automation into traditional enterprise systems.

Experience

1. Java Backend Developer

   Walmart Global Tech

   Jul 2024 — Present · Sunnyvale, CA, US

   Key Responsibilities:• Achieved 99.99% reliability and reduced compliance risk by designing a scalable batch platform processing records with Spring Boot microservices• Improved SLA adherence by 60% by applying concurrency and performance tuning in multithreaded Spring Batch with partitioning and chunk tuning• Automated monthly ServiceNow tickets, including ownership assignment and evidence attachments, cutting manual effort by 70%• Reduced rollout time by 40% and enabled zero downtime by managing container orchestration with Kubernetes, Jenkins, Helm, and Terraform• Strengthened security compliance by implementing Spring Security with JWT/OAuth2 and Kubernetes RBAC• Engineered Redis caching, schema optimizations, and Kafka workflows that improved API latency by 40% and system throughput by 35%• Optimized compliance datasets with normalized and denormalized schemas, reducing query cost by 30% and improving reporting speed• Enhanced resiliency with Resilience4j retry/fallback/circuit breaker patterns, ensuring fault tolerance and 99.99% uptime under load tests• Expanded test coverage with REST Assured integration and Gatling load tests, ensuring 99.9% API uptime under peak workloads• Built a RAG-based chatbot integrated with Confluence documentation, automating compliance responses, and reducing resolution time by 80%.

Education

• Missouri University of Science and Technology

  Master's degree