
Raghu nath L
Lead Java Full Stack Developer @ Walmart Global Tech
United States
Elk Grove Village
Information Technology & Services
Redux.js, Microservices, Spring MVC, Software Construction, Software Development, Java Software Development, Database Design, REST APIs, JAVA 8, Cassandra, java 11, C++, JAVA11, Azure SQL, MongoDB, PL/SQL, Angular, Kafka Streams, java 17, Node.js
Experience

Lead Java Full Stack Developer
Illinois, United States
Working on Java supported applications at Walmart, Where I design and deliver scalable, high-performance microservices using Java 17 and Spring Boot to support large-scale retail order and inventory systems. I work extensively with event-driven architectures leveraging Apache Kafka and AWS services such as SQS, SNS, DynamoDB, and EKS to build resilient, distributed systems capable of processing millions of transactions daily. My responsibilities include developing secure RESTful APIs, optimizing PostgreSQL database performance, implementing IAM-based access controls, and automating CI/CD pipelines using Jenkins and Docker. I focus heavily on system reliability, performance tuning, and cloud-native deployments to ensure high availability and seamless scalability in production environments. Working in an Agile setup, I collaborate with cross-functional teams to continuously improve platform efficiency, reduce latency, and deliver business-critical retail solutions.

Senior Java Full Stack Developer
Chicago, IL
At Cisco, I worked as a Java Backend Developer building enterprise-grade microservices to support network orchestration and service management platforms. I developed scalable backend services using Java 17 and Spring Boot, exposing secure REST and SOAP APIs to integrate with internal systems and third-party platforms. I implemented event-driven processing using Apache Kafka, Azure Event Hub, and Service Bus to handle high-volume telemetry and service notifications with strong reliability guarantees. My work involved optimizing PostgreSQL and Oracle databases for performance, implementing distributed caching with Redis, and strengthening security using LDAP, OAuth2, and JWT-based authentication. I also contributed to cloud-native deployments using Docker and Azure Kubernetes Service (AKS), while streamlining CI/CD pipelines with Jenkins and Azure DevOps to improve release efficiency and system stability. Working in an Agile environment, I collaborated with cross-functional teams to deliver resilient, high-availability backend solutions aligned with enterprise SLA and compliance standards.

Senior Java Full Stack Developer
Bloomington, IL
At State Farm, I worked as a Java Full Stack Developer contributing primarily to backend services supporting claims and policy processing systems. I developed modular services using Java 11 and Spring Framework, implementing RESTful APIs and asynchronous messaging with JMS, ActiveMQ, and Kafka to enable reliable communication across underwriting and claims workflows. I integrated Drools Rules Engine to automate complex business validations, improving claims accuracy and reducing manual intervention. My work involved designing and optimizing PostgreSQL and MongoDB data models, implementing secure authentication with Spring Security, OAuth2, and JWT, and enhancing performance through Redis caching. I also containerized applications using Docker and streamlined deployments with Jenkins and Azure DevOps CI/CD pipelines. Working in an Agile environment, I collaborated closely with business and compliance teams to deliver secure, scalable, and regulation-aligned insurance technology solutions.

Java Full Stack Developer
Bloomfield, CT
At Cigna Group, I worked as a Java Full Stack Developer primarily focused on building secure and scalable backend services for claims and policy processing systems. I developed microservices using Java and Spring Boot to support claims intake, eligibility validation, and payment workflows, ensuring high reliability and regulatory compliance. I implemented RESTful APIs and asynchronous messaging using Kafka and JMS to enable smooth communication between distributed services. I worked extensively with PostgreSQL and Oracle for transactional data management, optimizing queries and improving system performance for high-volume claim processing. I also integrated Drools Rules Engine to automate complex business validations, significantly reducing manual intervention in adjudication workflows. On the infrastructure side, I containerized services using Docker and deployed them in AWS environments leveraging EC2, RDS, SQS, and CloudWatch for scalability, monitoring, and operational visibility. I implemented secure authentication using Spring Security and JWT, ensuring protection of sensitive healthcare data. Working in an Agile environment, I collaborated closely with cross-functional teams to deliver reliable, high-performance insurance technology solutions aligned with business and compliance requirements.
Raghu nath L's Contact Information
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