Hetansh Patel

About Hetansh Patel

I am always eager to tackle challenging problems and optimize performance at every level of the stack. My approach to software development is deeply rooted in writing clean, maintainable, and scalable code while ensuring seamless user experiences. I enjoy collaborating with cross-functional teams to deliver high-quality products and continuously improve development processes. Beyond coding, I stay up to date with the latest industry trends, experimenting with emerging technologies to refine my skill set. My commitment to problem-solving is reflected in my dedication to LeetCode, where I have solved over 400+ algorithmic challenges. I believe that strong fundamentals in data structures and algorithms are crucial for building efficient software systems. I thrive in fast-paced environments where I can drive impact, architect solutions, and contribute to both technical and product strategy. Whether it’s building full-stack applications from scratch, optimizing backend services for scalability, or setting up cloud infrastructure, I am passionate about creating technology that makes a difference.

Experience

1. Software Development Engineer 2

   Amazon

   Dec 2024 — Present · Seattle, WA, US

   Designed and implemented complex data processing pipelines using aws glue, athena, and s3, optimizing query performance and data lake efficiency. • Refactored and optimized legacy codebases, reducing technical debt and improving system performance through better design patterns and efficient algorithms. • Led cross-team collaborations to define api contracts and ensure seamless integration between backend services and external partners. • Implemented distributed caching strategies using aws dynamodb and elasticache to enhance application responsiveness and reduce database load. • Designed and enforced database indexing strategies for high-volume transactional systems on amazon rds and dynamodb, reducing query execution time. • Implemented role-based access control and fine-grained permissions using aws iam and cognito, enhancing security for multi-tenant applications. • Led root cause analysis and resolution of high-severity production incidents, improving system reliability and reducing mean time to recovery. • Established observability best practices by integrating distributed tracing and structured logging with aws x-ray, opensearch, and cloudwatch. • Automated infrastructure cost monitoring and optimization strategies using aws cost explorer, trusted advisor, and compute savings plans.

Education

• Government Engineering College,Gandhinagar

  Bachelor of Engineering - BE, Information Technology

• University of Florida

  Master's degree, Computer Science