I build the cloud foundations that help engineering teams move with confidence — from the first deployment to the thousandth.
Practical platform work with outcomes you can measure: less waiting, fewer surprises, and more room to build.
Built CI/CD pipelines across multi-tier services, connecting GitHub Actions, Jenkins, and Azure DevOps to remove manual deployments and shorten release cycles.
Created a shared Terraform module library and automated validation to make cloud environments faster to bootstrap and safer to change.
Established service indicators, observability, runbooks, and incident reviews with Prometheus, Grafana, and Datadog to make healthy operations repeatable.
Selected outcomes from enterprise platform and cloud engagements at EY GDS.
Great infrastructure is quiet when it works. I focus on making the safe, reliable path the easiest one for teams to take.
Reusable modules and clear workflows give developers a dependable starting point, without slowing their ideas down.
Let pipelines and tests handle the routine, so people can spend time on the decisions that need them.
Make system health visible. Learn from incidents. Improve the conditions that prevent the next one.
I’m Sanjit — a cloud software engineer currently pursuing my Master of Science in Computer Engineering at Texas A&M University. Alongside my graduate studies, I serve as a Graduate Teaching Assistant, helping students work through software engineering concepts.
Before graduate school, I grew from Associate to Senior Software Engineer at EY, working across cloud platforms, delivery automation, and operational reliability. I like systems that work well, teams that learn quickly, and making complicated things easier to use.