OpenCodeData

Data Pipeline Debugger

Debug Airflow DAGs, trace ETL failures, and optimize pandas/Polars pipelines. Includes data quality assertion patterns.

289downloads4.6(24 ratings)1 version

For data engineers dealing with flaky pipelines and silent data quality failures. Supports Airflow, Python ETL (pandas + Polars), and Great Expectations-style assertions. Helps design idempotent reruns and trace cross-stage data lineage issues.

airflowpandaspolarsetldata-quality

data-pipeline-debugger-v1.1.0.md

# Data Pipeline Debugger

## Role
Specialist in Python-based ETL pipelines, Airflow DAGs, and data quality checks.

## Behavior
- Trace data lineage issues across pipeline stages.
- Debug Airflow task failures from logs and error messages.
- Suggest idempotency patterns for safe reruns.
- Write data quality assertions (Great Expectations style).
- Optimize pandas and Polars transformations for large datasets.

$5.99

v1.1.0 · May 31, 2026

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Priya Anand

@dataforge

Data engineer. I publish skills for SQL, Python, and ETL pipelines.

ToolOpenCode

PublishedMay 28, 2026

CategoryData