Summary
This is a comprehensive reference hub with 54+ production-ready GCP data engineering projects built by a Google Developer Expert. You get working code for BigQuery ML models, Dataflow pipelines, Pub/Sub streaming, Cloud Composer DAGs, and Dataproc jobs. Each project includes architecture diagrams, sample data, and deploy.sh scripts tested against live GCP environments. It's structured as modular Python packages, not scripts, which makes it easier to adapt patterns into your own codebase. If you're building data pipelines on GCP and want proven examples beyond the official docs, this gives you a solid starting point with real UPSERT patterns, signed URLs, lifecycle policies, and Beam transforms already implemented.
Install to Claude Code
npx -y skills add aradotso/data-skills --skill google-cloud-data-engineering-hub --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Files
SKILL.md
Select a file.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
