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Testable PySpark ETL pipelines v1.0.0

Use this resource to write testable PySpark ETL jobs with Spark SQL and Iceberg

New

  • 570 downloads
  • 194 likes
  • 100 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install pyspark-etl-jobs

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 writes PySpark jobs: a job class with an injectable session, configuration through a factory function, joins and window functions, and idempotent cumulative merges with Apache Iceberg. You get a testable pipeline with transformations on an explicit schema.

Mostly picked by

Updated November 2, 2026

Card for the “Testable PySpark ETL pipelines” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: job structure, configuration and shared reader
  • SKILL.md: joins, windows, higher-order functions and Iceberg merges

Good fit for

  • You inherit a Spark job whose intermediate DataFrames are hard to test
  • You build a cumulative table in an Iceberg lake

Not for

    Tags

    • pyspark
    • etl
    • iceberg

    About

    You say

    “Write a PySpark job that merges today's orders into the Iceberg table without duplicates.”

    Card for the “Testable PySpark ETL pipelines” skill

    Skill published by mindrally under the Apache-2.0 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 write testable PySpark ETL jobs with Spark SQL and Iceberg
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.8 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/pyspark-etl
    Licence
    Apache-2.0

    Notice

    « pyspark-etl » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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