# lvgalvao/data-engineering-roadmap

Formação Profissional em Engenharia de Dados e IA

Repository: https://github.com/lvgalvao/data-engineering-roadmap
Canonical: https://ross.abutalabs.com/products/data-engineering-roadmap
Homepage: https://www.suajornadadedados.com.br/
Language: Python
License Family: other
Last push: 2026-05-12T21:51:30+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 82, release rhythm 35, longevity 68
- inputs: {"age_days": 960, "days_push": 113, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1394, forks 362 (observed 2026-08-28T04:04:36.425793+00:00)

## What it is
The official repository of a professional training program in Data Engineering and AI (university extension) by Jornada de Dados. It contains a structured roadmap with practical projects, exercises, and materials covering ETL/ELT pipelines, orchestration with Airflow, dbt, SQL, Python, AWS cloud, and AI topics like RAG and LangChain.

## Use cases
- learn data engineering from scratch
- find a data engineering roadmap
- practice building ETL pipelines with Airflow
- learn dbt and analytics engineering
- study AWS for data engineering
- learn to build RAG applications and AI agents
- prepare for a data engineering career

## When to choose
- you want a structured, project-based path into data engineering and AI
- you want course materials covering Airflow, dbt, Kafka, Terraform, and AWS in one place
- you prefer learning through real-world projects rather than isolated tutorials

## When to avoid
- you need production-ready open-source tooling rather than educational content
- you need a permissively licensed codebase, since the repository has no license
- you want only English-language materials, as the content is primarily in Portuguese

## Facets
- artifact type: learning-resource
- maturity: active
- function: etl, developer-tools, data-science, rag, agent-framework
- domain: tutorials, artificial-intelligence, cloud-computing
- platform: python, cloud
- tags: roadmap, data-engineering-course, dbt, airflow, aws, kafka, education, portuguese, data-engineering, automation, docker

## Member repositories
- lvgalvao/data-engineering-roadmap (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.425793+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 2026-08-30T04:39:27.057691+00:00, confidence not recorded.
  - readme: https://github.com/lvgalvao/data-engineering-roadmap (fetched 2026-08-28T04:04:36.425793+00:00, sha 9aaae383846e)
  - homepage: https://www.suajornadadedados.com.br/ (fetched 2026-08-29T11:54:19.763886+00:00, sha 65422ba3dc0c)
- Data as of 2026-08-30T08:39:29.467469+00:00.