Anudeep Sappa
Actively looking for Full Time Opportunities \"Backend Engineer | AWS Cloud | Data Ingestion Pipelines | Microservices | Node.js, Spring Boot, Flask | SQL & DynamoDB | Redis | CI/CD | TypeScript\"
- Role
- Back End Developer at J.P. Morgan
- Location
- Atlanta, GA, US
- LinkedIn followers
- 500 followers
About Anudeep Sappa
I am a results-driven Software Development Engineer with a Master’s in Computer Science from Wichita State University. I bring expertise in designing and developing scalable backend systems, micro services, and cloud-based applications.My technical strengths include Java, Python, JavaScript, TypeScript, and frameworks like Node.js, Spring Boot, Flask, and Express.js. I have hands-on experience building RESTful APIs, optimizing performance with Redis caching, and working with both SQL and NoSQL databases like DynamoDB, PostgreSQL, MySQL, and MongoDB.In cloud computing, I specialize in AWS services (Lambda, S3, API Gateway, CloudWatch), with a focus on building efficient data ingestion pipelines and automating workflows to enhance system performance and reliability. I am also proficient with CI/CD tools like Jenkins and Docker, streamlining deployments to improve development workflows.My work spans industries, including fraud detection systems, referral abuse prevention services, and e-commerce platform optimizations. I excel in Agile environments and am adept at collaborating with cross-functional teams to deliver impactful solutions.I am passionate about solving complex problems, optimizing backend systems, and contributing to scalable software solutions. I am actively seeking full-time opportunities in Backend Development, Cloud Engineering, or Software Development roles where I can leverage my skills to drive organizational success.If you’re interested in connecting or discussing opportunities, please feel free to reach out. I’m eager to collaborate and make a meaningful impact in the tech industry.
Experience
Back End Developer
Jul 2023 — Present · US
Developed scalable data ingestion pipelines using AWS Lambda and S3, reducing data latency by 20%.• Automated data transformation tasks with Node.js and Express.js, increasing processing efficiency by 15%.• Implemented Redis caching to minimize API response times by 30%, enhancing user experience.
Education
Wichita State University
Computer Science
2021 — 2023
KL University
Bachelor of Technology - BTech
2016 — 2020
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