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gcp-data-pipelines

Official

Orchestrate end-to-end GCP data pipelines.

Data & Analytics#gcp#orchestration#dbt#data-pipelines#dataflow#dataproc
Authorgemini-cli-extensions
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Builds expert guidance for selecting and implementing Google Cloud data pipelines, helping teams choose the right tool for each workload to improve reliability, efficiency, and maintainability.

Core Features & Use Cases

  • Tool selection guidance across dbt, Dataflow, Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS), and Cloud Composer.
  • Architecture planning and pattern recommendations for end-to-end data pipelines on Google Cloud.
  • Real-world scenarios including batch and streaming pipelines, data warehouse orchestration, and ML preprocessing integration.

Quick Start

Tell me your data pipeline goals and I will propose the best Google Cloud tool and approach to implement them.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: gcp-data-pipelines
Download link: https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack/archive/main.zip#gcp-data-pipelines

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