Data Engineer Path
Technical professionals who want to build the pipelines and platforms that power analytics and AI.
4 stepsHands-on labsCapstone + portfolioA named role
Save $97 vs. courses separately
By the end, you can
What this path makes you able to do.
- Explain the modern data stack and pipeline architectures
- Build ETL and ELT pipelines with orchestration and dbt
- Run data platforms with warehouses, streaming, and data quality
A guided journey, not a pile of courses
The 4-step path.
- 1View course
Data Engineering Foundations
The role and the modern stack
- 2View course
Building Data Pipelines
ETL/ELT, Airflow, and dbt
- 3View course
Data Platforms & Quality
Warehouses, streaming, quality
Capstone: build a data pipeline
An orchestrated ETL or ELT pipeline into a warehouse with transformations, tests, and a data-quality plan
Every path is backed by
Hands-on labs. A final exam & capstone. A real role.
You finish with a portfolio you can show, a cumulative exam, and the skills to land the Data Engineer role.
Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.