Ramandeep Singh

I’m a backend, cloud, and data-focused engineer with over six years of experience building production-grade systems on AWS using Python. My work sits at the intersection of scalable backend services, data pipelines, and cloud-native architecture, with a strong emphasis on reliability, performance, and real business impact.

I’ve designed and deployed microservices, APIs, and serverless backends using AWS services like Lambda, API Gateway, S3, and relational and NoSQL databases. Alongside this, I’ve built and maintained ETL/ELT pipelines and data platforms that ingest, transform, and expose large volumes of data for analytics and downstream services. I’m comfortable working end to end—from data modeling and schema design to optimization, monitoring, and cost-aware scaling.

My background includes experience in enterprise, data-intensive environments where systems process tens of terabytes of data, as well as more agile, product-driven projects where speed, clarity, and clean design matter. I’m used to collaborating with global, cross-functional teams, contributing to architectural decisions, and translating complex requirements into practical, maintainable solutions.

I value hands-on ownership, clear communication, and thoughtful engineering. I enjoy solving hard problems in cloud and data systems, continuously improving existing platforms, and building foundations that scale as products and organizations grow.