Apache Airflow: TaskFlow & PostgreSQL Pipelines

Build data pipelines with Apache Airflow using TaskFlow API, DAGs, PostgreSQL, sensors, hooks, and S3 integration

What you’ll learn
✓ Build scalable data pipelines using Apache Airflow and DAGs
✓ Use the TaskFlow API to create clean and maintainable workflows
✓ Integrate PostgreSQL for data storage and SQL operations in Airflow
✓ Use sensors and hooks to automate workflows and connect external systems

Requirements
● Basic knowledge of Python programming is recommended
● Familiarity with Apache Airflow basics is helpful but not required
● A computer with Python installed (Windows, macOS, or Linux)
● Basic understanding of databases and SQL is a plus

Description
If you already understand the basics of Apache Airflow and want to take your skills to the next level, this course is for you.

In this hands-on course, you will learn how to build production-ready data pipelines using Apache Airflow. We go beyond the fundamentals and focus on real-world workflows used by data engineers in modern data platforms.

You’ll start with a quick refresher on Airflow concepts, then dive deep into the TaskFlow API to create clean, maintainable, and scalable DAGs. You will learn how to pass data between tasks, manage multiple outputs, and design efficient workflows.

Next, you’ll integrate PostgreSQL into your pipelines, enabling you to perform SQL operations, store data, and build end-to-end data workflows. You’ll also explore sensors to create event-driven pipelines and hooks to connect Airflow with external systems like databases and Amazon S3.

By the end of this course, you will be able to

• Build and manage advanced Airflow pipelines

• Use TaskFlow API for modern workflow design

• Integrate databases and cloud services

• Automate data workflows efficiently

This course is ideal for developers, data engineers, and analysts who want to master Apache Airflow and build scalable data pipelines for real-world applications and production environments. Good Luck

Who this course is for
■ Data engineers and analysts who want to build and automate data pipelines with Apache Airflow
■ Developers looking to learn workflow orchestration and ETL pipelines
■ Anyone with basic Airflow knowledge who wants to go deeper into TaskFlow, sensors, and integrations

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