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Design scalable data pipelines v1.0.0

Use this resource to design scalable batch and real-time data pipelines

New

  • 366 downloads
  • 228 likes
  • 121 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-pipelines-engineering

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent defines sources, data contracts and SLAs, then chooses the architecture, storage and orchestration. It draws on Spark, dbt, Airflow and cloud data platforms for batch processing, streaming and warehouse modeling.

Mostly picked by

Updated November 2, 2026

Card for the “Design scalable data pipelines” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: step-by-step approach and scope of use
  • SKILL.md: batch, streaming, orchestration and modeling guidance

Good fit for

  • You must feed a data warehouse from several sources
  • You want to move from manual ETL to orchestrated pipelines

Not for

    Tags

    • data
    • pipeline
    • spark
    • dbt

    About

    You say

    “Design a pipeline that loads our Shopify orders into the warehouse every night.”

    Card for the “Design scalable data pipelines” skill

    Skill published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to design scalable batch and real-time data pipelines
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md11.3 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/data-engineer
    Licence
    MIT

    Notice

    « data-engineer » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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