# datastacktv/data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

Repository: https://github.com/datastacktv/data-engineer-roadmap
Canonical: https://ross.abutalabs.com/products/data-engineer-roadmap
Homepage: https://datastack.tv
License Family: other
Topics: data-engineer-roadmap, data-engineering, cloud, roadmap
Last push: 2022-01-25T21:09:00+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2191, "days_push": 1681, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12749, forks 1337 (observed 2026-08-28T04:10:59.713541+00:00)

## What it is
A visual roadmap and study guide outlining the tools, skills, and landscape of modern data engineering as of 2021. It is a curated reference document (images plus text versions) rather than runnable software.

## Use cases
- become a data engineer
- learn data engineering skills
- plan a data engineering career path
- find which data tools to study
- understand the modern data stack landscape

## When to choose
- you want a structured overview of data engineering skills and tools
- you are a beginner planning what to learn
- you want a shareable visual curriculum for data engineering

## When to avoid
- you need runnable code or a software tool
- you need up-to-date 2024+ tooling guidance since the roadmap targets 2021
- you want interactive lessons rather than a static reference

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, cloud-computing, big-data
- platform: cross-platform
- tags: roadmap, study-guide, career, data-engineer, infographic, data-engineering

## Member repositories
- datastacktv/data-engineer-roadmap (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:59.713541+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:49.309639+00:00, confidence not recorded.
  - readme: https://github.com/datastacktv/data-engineer-roadmap (fetched 2026-08-28T04:10:59.713541+00:00, sha c8a0af20d7c7)
- Data as of 2026-08-30T08:39:29.467469+00:00.