Guided Tour
Explore the Data Engineer BootCamp through visual screenshots of the key features and course structure. This tour covers the curriculum layout, design, and learning resources.
Design Tour
Hero Section
The landing page hero introducing the Data Engineer BootCamp with the value proposition and course overview.
Curriculum Pipeline
Six weeks of data engineering topics presented as a pipeline timeline. Week 1 is marked as complete with the teal accent colour, while subsequent weeks are scaffolded by stage.
About and Call-to-Action
Course philosophy and learning resources section with links to the original materials and the guided tour.
Course Outline
Introduction & Prerequisites
GCP, Docker, Terraform setup
Workflow Orchestration
Data lakes and Prefect
Data Warehouse
BigQuery and data modelling
Analytics Engineering
dbt and data transformation
Batch Processing
Apache Spark and distributed computing
Stream Processing
Kafka and real-time pipelines
Getting Started
All course materials are hosted in the GitHub repository. Each week includes detailed lessons, practical exercises, and real-world examples. The curriculum builds progressively from foundational concepts to advanced data engineering patterns.
The bootcamp emphasises hands-on learning through projects and real tools used in production data engineering. By completing all six weeks, you will have built a complete understanding of modern data stack fundamentals.