Data engineers, proven.
Every portfolio on dataskew represents real projects, reviewed by industry experts. Not courses watched. Not certifications earned. Actual work, graded.
How it works
1
Learn
Engineers follow structured roadmaps covering the modern data stack.
2
Build
They build real projects: ETL pipelines, streaming systems, data warehouses.
3
Get reviewed
An expert reviews their code and grades the work across multiple dimensions.
4
Show proof
Their portfolio tells the whole story: what they built, how well they built it.
Why this is different
Expert-reviewed
Every project is reviewed by a senior data engineer. Not auto-graded. Not self-assessed.
Real projects
Production-style work with real tools: Python, SQL, dbt, Airflow, Kafka, Spark, Docker.
Structured grades
Multi-dimensional grading: code quality, architecture, documentation, best practices.
