Changelog
New features, content, and improvements on dataskew.io.
v1.4.0May 15, 2026
Features
- FeatureSubmit your projects for review — Finished a project? Submit your GitHub repo and get a written review across 5 categories: code quality, architecture, documentation, best practices, completeness.May 15, 2026
- FeaturePublic portfolio pages — Turn your reviewed work into a shareable portfolio. Avatar, learning progress, social links, and graded projects — all at /portfolio?u=<your-github-handle>.May 15, 2026
- FeatureTalent showcase — Discover the dataskew community. /talent is the public directory for engineers with reviewed projects — built for hiring companies.May 15, 2026
Contents
- ContentSharper data engineering content — Rewritten ETL vs ELT with dedicated Fivetran and Airbyte sections, new TL;DR leads on all blog posts, and 5 previously-orphan posts now indexed.May 15, 2026
Improvements
- ImprovementProfile fields for portfolios — Add your full name, professional title and toggle 'Make my portfolio public' to opt in to the talent showcase.May 15, 2026
Coming Soon
- AI-assisted review drafts to speed up grading
- Checkpoint quizzes at the end of each roadmap step
- Peer code review on project submissions
v1.3.0Mar 8, 2026
Features
- Feature
- Feature
Contents
- ContentBeginner Data Engineer Roadmap — Zero-to-hired learning path with 51 tasks and curated resourcesMar 8, 2026
- ContentData Warehousing fundamentals — OLAP, star/snowflake schemas, SCD types & cloud warehousesMar 8, 2026
- Content
- Content
Improvements
- ImprovementRelated content suggestions — "Continue Learning" links on projects, fundamentals, and roadmapsMar 8, 2026
v1.2.0Feb 13, 2026
Features
- Feature
- FeatureStreak & XP system — Earn XP and build daily learning streaksFeb 13, 2026
Contents
- Content
- ContentCI/CD for Data Pipelines projectFeb 13, 2026
- ContentCloud Cost Optimization courseFeb 13, 2026
Improvements
- ImprovementInterview Prep multi-select filtersFeb 13, 2026