Naveen Battina
Software Development Engineer | Java, Spring Boot, AWS & React.js Specialist | Enabling Insurance & Healthcare Organizations to Deliver Scalable, Secure, and High-Performance Solutions
- Role
- Software Engineer at The Cigna Group
- Location
- Montgomery, AL, US
- LinkedIn followers
- 500 followers
About Naveen Battina
As a detail-oriented Software Development Engineer with over 4 years of experience, I specialize in designing and delivering scalable, secure, and high-performance applications within the insurance and healthcare sectors. My expertise spans the full software development lifecycle, with a strong focus on cloud-native microservices built using Java, Spring Boot, and AWS.I have a proven track record of leveraging modern technologies like React.js, Apache Kafka, and container orchestration tools such as Docker and Kubernetes to build resilient, event-driven systems. I’m passionate about implementing secure RESTful APIs, optimizing CI/CD pipelines with Jenkins and GitHub Actions, and automating infrastructure provisioning through Terraform to enhance deployment efficiency and system reliability.Throughout my career, I have successfully collaborated in Agile environments, driving improvements in performance, automation, and compliance (including HIPAA standards). My goal is to develop clean, efficient code aligned with business objectives, ensuring both technical excellence and positive user experiences.If you’re looking for a software engineer who combines deep technical skills with a commitment to delivering value, let’s connect!
Experience
Software Engineer
Jun 2024 — Present · US
Designed and deployed scalable microservices in Java and Spring Boot, reducing backend response times by 20% across insurance claim workflows. • Implemented secure, token-based authentication using JWT and OAuth2, enhancing data protection compliance and reducing unauthorized access incidents by 27%. • Built real-time analytics dashboards using React.js and AWS Lambda, improving stakeholder visibility into KPIs and reducing reporting delays by 32%. • Automated infrastructure provisioning with Terraform, cutting manual deployment time by 65% and eliminating configuration drift across dev environments. • Refactored legacy API endpoints into RESTful services, decreasing codebase complexity and reducing maintenance overhead by 18%. • Conducted performance tuning across Kafka consumers and producers, increasing message throughput by 25% and minimizing processing latency under load.
Education
Sreenidhi Institute of Science and Technology
Bachelor of Technology - BTech, Bachelors of Engineering in Electronics
Auburn University at Montgomery
Master of Science, Computer Science
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