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bigquery-pipeline-audit

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Audit BigQuery pipelines for safety & cost.

Software Engineering#python#audit#data pipeline#production readiness#cost optimization#idempotency#bigquery
AuthorGabeujin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps data engineers ensure their Python and BigQuery pipelines are cost-effective, safe to rerun, and ready for production by identifying potential issues before they cause problems.

Core Features & Use Cases

  • Cost Analysis: Identifies BigQuery job triggers and external calls, flagging potential runaway costs and missing safety configurations like maximum_bytes_billed.
  • Idempotency Checks: Verifies that pipelines can be safely rerun without data corruption, checking for proper MERGE strategies or deduplication logic.
  • Production Readiness: Assesses pipeline design for dry-run modes, backfill safety, query optimization (partition filters, SELECT *), and observability.
  • Use Case: A data engineer can use this skill to review a new ETL script that processes daily sales data, ensuring it won't incur unexpected costs and can be safely re-executed if a job fails.

Quick Start

Use the bigquery-pipeline-audit skill to analyze the provided Python script for cost exposure and idempotency.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: bigquery-pipeline-audit
Download link: https://github.com/Gabeujin/workspace-init-mcp/archive/main.zip#bigquery-pipeline-audit

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