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etl-orchestration

Official

Orchestrate ETL pipelines with reliable workflows.

Data & Analytics#orchestration#etl#airflow#dag#data-pipelines#prefect#dagster
Authormahg-es
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Coordinating multiple ETL jobs across different orchestration systems can be error-prone, leading to missed runs, data drift, and delayed insights.

Core Features & Use Cases

  • Design and manage DAGs across Airflow, Dagster, and Prefect for scalable ETL pipelines.
  • Provide scheduling, dependency management, retries, monitoring, and alerting to ensure data reliability.
  • Use case: orchestrate nightly batch loads, handle data lineage, and recover gracefully from failures.

Quick Start

Configure your first ETL workflow by selecting an orchestrator (Airflow, Dagster, or Prefect), define a simple DAG with a single schedule, and set a basic retry policy.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: etl-orchestration
Download link: https://github.com/mahg-es/araya/archive/main.zip#etl-orchestration

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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