Apache Airflow — Workflow Orchestration & DAG Design
Data Pipelines skills for the Data Engineer career path. Filter, model, and reason about the real data this role works with every day.
Data Pipelines skills for the Data Engineer
Building on PySpark Fundamentals, this lesson focuses on the practical Data Pipelines toolkit a working Data Engineer reaches for on the job.
Try the first query
SELECT example, value
FROM data-pipelines_dataset
WHERE priority = '1'
AND career = 'Data Engineer';
▸ preview · Sprint-2 will replace this with a live runner
dbt — Data Build Tool for Analytics Engineering
Once this topic clicks, the recommended next step keeps the learning streak going on adjacent skills in the same career path.
continue path →Sprint-1 stub
This is the Sprint-1 stub for ai.careerplane.data-analytics.data-engineer.data-pipelines.airflow.
The fully-generated topic page (sandbox + quiz + AI hints + interactive
tooling) lands in Sprint-2 at
(per arch/memo.md → D-2026-04-22-13). The
//go:embed all:static directive auto-serves
it on the next container rebuild — no server-code change needed.