← Data Engineering & ETL learning pathData Engineering & ETL · Module 10 of 10
Data engineering career and projects
Grow into a data engineer with real projects.
📖 Key ideas
- Skills ladder: SQL → Python → data modelling → Spark → orchestration → cloud.
- Learn Git, Docker and CI/CD.
- Projects: end-to-end pipeline from API to dashboard.
- Document architecture with diagrams.
- Certifications: GCP Professional Data Engineer, AWS Data Engineer, Databricks.
💡 Real-life example: A data engineering portfolio is a working water system you can demonstrate, not just a drawing.
End-to-end pipelineFrom source to dashboard
CI/CDAutomated testing and deployment
Architecture diagramPicture of system components
CertificationCredential proving skills