Data Engineering Foundations

Name: Data Engineering Foundations
Availability: InStock

A hands-on introduction to the modern data stack. Learn advanced SQL, build ETL pipelines with Python and Airflow, load data into cloud warehouses, process real-time streams with Kafka, and transform data with dbt. Finish with an end-to-end data platform capstone.

4.70/5.0

8 hours

480 enrolled

Updated Apr 2026

Course Content ↓

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By CloudaQube Team

What You'll Learn

Write advanced SQL with window functions, CTEs, and query optimisation

Build and schedule ETL pipelines with Python and Apache Airflow

Design star schemas, optimise Redshift tables with distribution and sort keys, and understand Snowflake's compute-storage separation architecture

Process real-time event streams with Apache Kafka

Transform and test data in the warehouse with dbt

Build an end-to-end data platform from ingestion to visualisation

Prerequisites

Python basics (functions, loops, file I/O)
Familiarity with SQL SELECT statements

About the Instructor

CloudaQube Team

Expert instructor with hands-on industry experience in Data Science.

Included in paid plans

LevelIntermediate

Duration8 hours

Lessons—

Students480

Rating4.70 / 5.0

This course includes

Hands-on practice labs
AI-powered explanations
Progress tracking
Certificate of completion
Lifetime access

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