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dag-orchestration-patterns

Airflow DAG 설계 패턴, 의존관계 관리, 재시도 전략, 멱등성 보장, 백필 전략 등 데이터 파이프라인 오케스트레이션 가이드. 'Airflow DAG', 'DAG 설계', '의존관계', '재시도 전략', '멱등성', '백필', '파이프라인 오케스트레이션', 'Dagster', 'Prefect' 등 파이프라인 스케줄링 시 이 스킬을 사용한다. scheduler-engineer의 DAG 설계 역량을 강화한다. 단, 데이터 품질 규칙 정의나 모니터링 대시보드는 이 스킬의 범위가 아니다.

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# DAG Orchestration Patterns — 파이프라인 오케스트레이션 패턴 가이드

Airflow 중심의 DAG 설계 패턴과 운영 전략.

## DAG 설계 패턴

### 1. Extract-Load-Transform (ELT) 패턴

```python
with DAG("elt_orders", schedule="0 2 * * *", catchup=False) as dag:
    extract = PythonOperator(task_id="extract", python_callable=extract_orders)
    load_raw = PythonOperator(task_id="load_raw", python_callable=load_to_raw)
    transform = DbtOperator(task_id="transform", select="orders")
    quality = PythonOperator(task_id="quality_check", python_callable=run_checks)