Orchestrate an End-to-End ETL Pipeline with S3, Glue, Redshift Serverless & MWAA

Part 8: Hands-on Tutorials · Hands-on Tutorials

Read the full tutorial: Orchestrate an End-to-End ETL Pipeline with S3, Glue, Redshift Serverless & MWAA ↗

Link verified 2026-08-23.

This tutorial chains an S3-to-Glue-to-Redshift-Serverless pipeline into a single Airflow DAG running on MWAA, with task dependencies, retries, and scheduling instead of a cron job calling scripts in sequence.

It’s the managed-orchestration version of DataOps & Platform Engineering: CI/CD, IaC/GitOps & Orchestration Patterns — the same DAG-and-dependency-management argument that topic makes, expressed as an actual Airflow DAG file.

flowchart LR
    A[MWAA - Airflow DAG] -.orchestrates.-> B[S3 raw data]
    A -.orchestrates.-> C[Glue ETL job]
    A -.orchestrates.-> D[Redshift Serverless]
    B --> C
    C --> D
    D --> E[Downstream consumers]

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