Sai Keerthi
I am a results-driven Senior Full Stack Java Developer with over a decade of experience delivering scalable, secure, enterprise-grade applications.
About
I am a results-driven Senior Full Stack Java Developer with over a decade of experience delivering scalable, secure, enterprise-grade applications. I specialize in cloud-native microservices, RESTful APIs, and data-intensive domains, with a passion for mentoring teams, driving best-practices, and continuously improving performance and reliability across complex environments.
I enjoy collaborating with product owners, architects, QA, and DevOps to deliver high-quality software on AWS, Azure, and GCP. My goal is to combine strong backend engineering with modern frontend tooling to create resilient, user-friendly solutions that meet strict regulatory, security, and performance requirements.
- 10 years' experience
- Joined March 2026
Industry experience
- Financial Services
- Retail
- Healthcare
- Professional Services
- Software & Internet
More experts in Columbus, United States
Work experience· 5 roles
Design, develop, and maintain end-to-end full-stack applications using Java, J2EE, Spring Boot, Spring MVC, Spring Security, and Hibernate/JPA. Build RESTful APIs and Microservices, implement event-driven architectures with Apache Kafka for asynchronous communication, collaborate with .NET teams for cross-platform integrations via REST APIs, and support cloud-native deployments on AWS, Azure, and GCP. Lead agile ceremonies, mentor junior developers, and implement application performance monitoring with Dynatrace.
Developed high-performance backend services using Java/J2EE, Spring Framework, Spring Boot, and RESTful APIs to support retail operations. Integrated Java microservices with .NET systems, designed PostgreSQL schemas, implemented CI/CD pipelines, performed performance and load testing, and deployed to AWS. Led Agile ceremonies and mentored junior engineers.
Delivered enterprise pharma applications with Java/Spring/Hibernate/JPA; built RESTful services; supported ETL workflows in Hadoop ecosystem; ensured GxP/FDA compliance with validation practices and audit trails; collaborated with validation teams; contributed to data processing using PySpark and Hadoop components.
Hire Sai Keerthi today
Post a job and invite Sai, or contact them directly. No hidden commission.









