Pavan
Software Engineer with 4+ years of experience designing and delivering cloud-native, distributed systems across healthcare and enterprise platforms
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About
Software Engineer with 4+ years of experience designing and delivering cloud-native, distributed systems across healthcare and enterprise platforms. Skilled in Java, Spring Boot, Python, and AWS (EC2, S3, Lambda, EKS, SQS/SNS), with a strong record of building scalable microservices, RESTful APIs, and event-driven architectures using Kafka. Experienced in CI/CD automation, DevSecOps, and production monitoring (Grafana, Prometheus, Splunk, CloudWatch), consistently improving system reliability, reducing latency, and cutting infrastructure costs.
Master's degree in Applied Computer Science with a proven ability to mentor engineers and collaborate across cross-functional, enterprise-scale teams.
Experience
Software Engineer at Cigna Healthcare (2025-08 – Present)
- Designed and implemented cloud-native enterprise applications, internal technology platforms, and distributed services using Java, Python, AWS, and microservices architecture, improving scalability, reliability, and operational stability across large-scale healthcare platforms.
- Built and optimized Airflow workflows, orchestration services, and enterprise data integration solutions to automate business-critical processes, application workflows, and platform operations.
- Developed and maintained scalable AWS cloud-based solutions leveraging EKS, S3, Lambda, IAM, CloudWatch, EventBridge, and Step Functions, aligning platform capabilities with enterprise architecture and business objectives.
- Applied DevSecOps best practices and engineered CI/CD pipelines using Git, GitHub Actions, Jenkins, Docker, Kubernetes, and SonarQube, improving software delivery, security, and release reliability.
- Built automated integration, regression, and end-to-end testing frameworks for cloud-native applications and enterprise services, reducing production defects by 30% and improving overall software quality.
- Utilized Grafana, Prometheus, Splunk, and CloudWatch to monitor enterprise systems, perform telemetry-driven troubleshooting, automate operational support processes, and improve platform resilience and performance.
- Mentored engineers on AWS cloud services, Airflow orchestration, DevSecOps practices, CI/CD automation, and system design, fostering a collaborative, high-performing engineering culture.
Software Engineer at TATA Consultancy Services (2021-12 – 2023-06)
- Architected a distributed order management platform using Spring Boot microservices and React.js, processing 50,000+ daily transactions with 99.95% uptime across production environments.
- Designed 25+ RESTful APIs with Spring Boot documented via Swagger/OpenAPI, cutting frontend integration time by 40% and enabling parallel development across 3 cross-functional squads.
- Implemented Apache Kafka event-driven pipelines to decouple 8 backend services, reducing inter-service latency from 420ms to under 90ms across all production traffic.
- Migrated a monolithic ERP module to containerized microservices using Docker and Kubernetes on AWS EKS, cutting infrastructure costs by 30% and deployment time from 2 hours to 12 minutes.
- Engineered OAuth 2.0 and JWT authentication for a multi-tenant SaaS portal via Spring Security, eliminating unauthorized access incidents and achieving SOC 2 audit compliance.
- Optimized PostgreSQL query execution plans and introduced Redis caching, improving API response times by 65% under 10,000 concurrent users at peak load.
Software Engineer at CorroHealth (2020-05 – 2021-12)
- Developed core backend modules for business workflow automation using C#, ASP.NET MVC, LINQ, MSSQL stored procedures, REST APIs, and Python scripts, troubleshooting production defects and reducing manual processing overhead.
- Integrated Bootstrap and jQuery front-end components with ASP.NET backend services using JavaScript, implementing structured validations and error handling that reduced API failures by 25% and UI defects by 30%.
- Implemented asynchronous messaging workflows for notifications and background tasks using JMS and AWS SQS/SNS, resolving XML and JSON data exchange issues to improve system responsiveness and scalability by 25%.
- Increased application stability by writing unit and integration tests using JUnit and Mockito within Jenkins CI workflows, significantly reducing regression defects across business workflow automation modules.
- Managed version control using Git and TFS, performed CRUD operations and database management on MSSQL Server, and contributed to code reviews and pull requests in Visual Studio 2019.
Education
Master of Science in Applied Computer Science – Southeast Missouri State University (2023-08 – 2025-05)
Bachelor of Technology in Computer Science – Jawaharlal Nehru Technological University, Hyderabad, India (2017-08 – 2021-09)

