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Data Science & Analytics

ETL & Data Pipelines with Shell, Airflow & Kafka

This course is a practical, hands-on introduction to building automated and scalable data workflows.

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Included with Skilldacity Membership

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About This Course

This course is a practical, hands-on introduction to building automated and scalable data workflows. Designed for aspiring data engineers, analysts, and technical professionals, this course walks you through the essential tools and frameworks used to extract, transform, and load data across modern systems. You’ll begin by working with Shell scripting to create foundational automation and data-processing tasks.

From there, you’ll explore Apache Airflow, learning how to orchestrate complex workflows, schedule jobs, and manage dependencies with ease. The course then introduces Apache Kafka, a leading platform for real-time data streaming, where you’ll learn how to build pipelines that handle continuous, high-volume data flows.

What You’ll Learn

  • Build foundational automation workflows using Shell scripting

  • Design, schedule, and orchestrate pipelines with Apache Airflow

  • Use Apache Kafka for real-time data streaming and message processing

  • Develop ETL processes for batch and streaming data

  • Understand key concepts in pipeline reliability, scalability, and monitoring

  • Integrate multiple tools to create end-to-end data engineering solutions

Skills You’ll Gain

Developer

DevOps & Automation

Productivity

Project Management

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Career Path

Data Science & Analytics

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Provider

Skilldacity

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Level

Foundational

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Certification

No certification associated

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Access

Included with eligible Skilldacity subscription

Ready to advance your career?

Join Skilldacity today and get unlimited access to this course and hundreds more.

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