srikant ghosh

I’m a DevOps engineer with 1+ years of experience building and automating CI/CD pipelines, cloud infrastructure, and AI-integrated deployment workflows. I focus on measurable outcomes—faster deployments, stronger reliability, and smoother operations.

At Sigmoid, I built AI-driven automation for data engineering workflows using Azure OpenAI (LLMs). I developed CI/CD via Azure DevOps to manage Databricks DDL operations, including modular Python automation for detection, execution, and rollback—plus LLM-based rollback SQL generation with prompt engineering to improve accuracy.

I’ve delivered major performance and resilience gains, reducing deployment time from ~45 minutes to under 8 minutes through full end-to-end automation. I also implemented audit logging and monitoring using Databricks Delta tables to ensure full traceability and safer recoverability.

I bring broad platform engineering experience across Azure and AWS, including GitOps-based Databricks DDL automation, Kubernetes and Docker, and infrastructure automation with Terraform and Ansible. I’m especially motivated by reliable automation patterns—like deterministic fallback logic and automated rollback triggered by Git revert commits—to keep systems dependable under real change.