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data-pipelines

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Design robust, idempotent data pipelines.

Data & Analytics#orchestration#etl#idempotency#backfill#data-pipelines#data-quality
AuthorAlexanderStephenThompson
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a structured framework for architecting, implementing, and operating robust ETL/ELT pipelines with idempotent guarantees, clear data staging, and observable outcomes.

Core Features & Use Cases

  • Idempotent design patterns (delete-then-insert, upserts) to ensure safe retries
  • Clear stage architecture (raw, staged, curated, aggregated) with backfill support
  • Observability: logging, metrics, lineage for data governance and quality
  • Use Case: design pipelines that ingest daily sales data, validate quality, and produce reliable dashboards

Quick Start

Outline a new ETL workflow for ingesting a daily source feed, validating data quality, and enabling backfill across dates.

Dependency Matrix

Required Modules

None required

Components

assetsreferences

💻 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: data-pipelines
Download link: https://github.com/AlexanderStephenThompson/claude-hub/archive/main.zip#data-pipelines

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