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data-pipeline-engineering

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Automate ETL pipelines for reliable analytics.

Data & Analytics#analytics#orchestration#pipeline#transformation#etl#data-quality#data-ingestion
Authorprofmikegreene
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Develop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL workflows, integrating new data sources, or building canonical datasets to support downstream analytics.

Core Features & Use Cases

  • Automated ETL Orchestration: Automate end-to-end data pipelines from source ingestion to canonical dataset creation.
  • Data Source Integration: Connect and harmonize multiple data sources for unified analytics.
  • Use Case: Build a repeatable data pipeline that ingests customer data, applies schema mappings, and outputs a canonical dataset for BI dashboards.

Quick Start

Instruct the AI to scaffold an end-to-end ETL pipeline for pilot data sources and target a canonical warehouse.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: data-pipeline-engineering
Download link: https://github.com/profmikegreene/gotei/archive/main.zip#data-pipeline-engineering

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