DevOps and CI/CD for Data Engineering Performance
Completed by Aimen Fatima
August 29, 2026
11 hours (approximately)
Aimen Fatima 's account is verified. Coursera certifies their successful completion of DevOps and CI/CD for Data Engineering Performance
What you will learn
Resolve merge conflicts and trace bugs using Git history tools, keeping collaborative codebases stable and production-ready.
Design branching strategies and automate deployments with CI/CD pipelines to safely promote data pipeline artifacts across environments.
Build and publish versioned Docker images and automate server configuration with Ansible for consistent, reproducible environments.
Analyze query execution metrics and optimize resource allocation to maintain performance targets in production data systems.
Skills you will gain
- Category: DevOps
- Category: Git (Version Control System)
- Category: Version Control
- Category: Docker (Software)
- Category: Data Pipelines
- Category: Ansible
- Category: Devops Tools
- Category: Performance Tuning
- Category: Configuration Management
- Category: Containerization
- Category: Root Cause Analysis
- Category: Data Infrastructure
