Data Pipelines with Airflow
Skill Path
Learn to build and automate the data pipelines that power production data systems. You'll go from building pipelines in Python to orchestrating them with Apache Airflow, one of the most widely used tools in data engineering.
- Intermediate friendly
- 1 month (5 hrs/week)
- Self paced
- 2 Courses
- 1 project
Python skills you'll learn
- ✓ Building reliable data pipelines with Python
- ✓ Orchestrating and scheduling workflows with Apache Airflow
- ✓ Applying pipeline automation patterns to production data engineering
Outline of Python courses
1 steps · 2 courses
Data Pipelines with Airflow [2 courses]
Learn how to build and orchestrate data pipelines with Python and Apache Airflow.
- Course 1
Building a Data Pipeline
4hBuild a practical Python data pipeline using imperative and functional patterns, including scheduling, decorators, and real-world workflows.
Course Objectives ▾
- Define functional programming
- Define advanced Python concepts such as closures and decorators
- Write a robust data pipeline with a scheduler in Python
- Course 2
Building Data Pipelines with Apache Airflow
8hOutgrow fragile scripts and cron jobs by orchestrating reliable, production-ready data pipelines with Apache Airflow.
Course Objectives ▾
- Understand workflow orchestration concepts and how Airflow coordinates complex data pipelines
- Deploy Apache Airflow using Docker Compose with all core services including scheduler, web UI, and workers
- Build DAGs using the TaskFlow API for clean, Pythonic workflow definitions
- Implement Dynamic Task Mapping to process multiple datasets in parallel
- Connect Airflow to databases and manage credentials securely through Connections and environment variables
- Integrate Git and git-sync to enable version-controlled DAG deployment
- Implement CI/CD pipelines using GitHub Actions to validate and deploy DAGs automatically
- Build production-ready ETL pipelines that extract data from APIs, transform it with Python, and load it into databases
Python projects you'll build
1 hands-on projects across the path
Hacker News Pipeline
For this project, we'll step into the role of data engineers to process Hacker News posts using Python. We'll apply skills in JSON parsing, string cleaning, and building data pipelines.
Earn your Data Pipelines with Airflow Certificate
Add this Python certificate to your resume or LinkedIn to showcase your skills and stand out in job applications.
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