Nihal Gajbhiye — Software Engineer

Software Engineer with experience in designing and optimizing highly distributed systems, building scalable data pipelines, and improving application performance. At Amazon, conducted multiple end-to-end tests to determine optimal max, reserved, and provisioned concurrency, reducing high-latency workflow calculations from 8 hours to 4 hours avoiding throttling. Contributed to a high-volume event-driven system for Amazon Associates data, involving SNS topics triggering, high volume SQS and DLQ queues processing, invoking Lambda functions for workflow calculations, and storing data in DynamoDB. Supported logging and monitoring, service deprecation, and migration from complex Step Functions with RDS to a more efficient, scalable event-triggered multi-workflow architecture along with frontend features using GraphQL to render Stencil components. Developed FastAPI applications that reduced response times by 50% and automated data pipelines with AWS services (Lambda, ECS, EKS, SQS, S3, Step Functions, EMR) to improve data ingestion rates by 75%. Streamlined deployment processes through GitHub Actions, enhanced code coverage, and scaled containerized applications with Docker to improve reliability and cost efficiency.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

Location: Seattle, Washington, United States

Experience: 4 yrs 4 mos