Git, Docker & CI/CD: DevOps Foundations for Data Engineers

Manual deployments break. Unmanaged environments drift. Unresolved merge conflicts cost teams hours. For data engineers, these are not occasional inconveniences — they are production risks. This program gives you the tools and workflows to eliminate them. Git, Docker & CI/CD: DevOps Foundations for Data Engineers is an intermediate program designed for data engineers, analytics engineers, and platform professionals who want to build the DevOps competency that modern data roles increasingly demand. Across eight focused courses, you will master the core automation and infrastructure skills that separate reactive practitioners from engineers who build proactively: Git branching strategies and conflict resolution, Docker containerization and image versioning, CI/CD pipeline configuration with GitHub Actions, Ansible-based infrastructure automation, secure cloud infrastructure provisioning with IaC, SQL-driven pipeline monitoring and ROI analysis, and strategic architecture roadmapping for legacy migration. You will work with industry-standard tools including Git, GitHub, Docker, Amazon ECR, Kubernetes, Ansible, and GitHub Actions, applying hands-on techniques to realistic production data engineering scenarios. By the end of the program, you will be equipped to automate, secure, and scale data infrastructure with the engineering discipline that production-grade data systems require.