DevOps and CI/CD for Data Engineering Performance

You'll build the skills to manage, automate, and optimize production-grade data systems using industry-standard DevOps practices. By completing this course, you'll be able to resolve complex version control conflicts, design branching strategies for collaborative development, containerize data environments with Docker, automate infrastructure configuration with Ansible, deploy data pipelines through CI/CD workflows, and optimize query performance to maintain service levels. This course is unique because it bridges the gap between software engineering and data engineering — giving you hands-on experience with the exact tools and workflows used in real production environments. Rather than covering concepts in isolation, you'll integrate version control, containerization, automation, and performance tuning into a cohesive DevOps skillset that employers actively seek. Whether you're moving into a data engineering role or strengthening your current practice, you'll finish with portfolio-ready work that demonstrates job-ready capability

• Resolve merge conflicts and track bugs using Git history tools
• Design branching strategies and automate deployments with CI/CD pipelines
• Build and publish versioned Docker images and automate server configuration with Ansible
• Analyze query metrics and optimize resource allocation to maintain performance

• Basic computer and internet skills
• Ability to read course instructions in English and complete short exercises