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PySpark pipeline from S3 to PostgreSQL v1.0.0

Use this resource to build a PySpark pipeline from S3 to PostgreSQL with quality checks

New

  • 374 downloads
  • 154 likes
  • 228 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install pyspark-s3-postgres-pipeline

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 configures AWS and PostgreSQL, then writes the extraction, schema validation, transformation and loading steps. It adds quality checks and tests. You get a runnable, logged pipeline.

Mostly picked by

Updated November 2, 2026

Card for the “PySpark pipeline from S3 to PostgreSQL” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: project structure, installation and AWS and PostgreSQL configuration
  • SKILL.md: full pipeline run, logging and tests

Good fit for

  • You process JSON files stored on S3
  • You must load validated data into PostgreSQL

Not for

    Tags

    • pyspark
    • s3
    • postgresql
    • etl

    About

    You say

    “Read the JSON files from the orders bucket, validate the schema and load the result into PostgreSQL.”

    Card for the “PySpark pipeline from S3 to PostgreSQL” skill

    Skill published by reason-machines 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 build a PySpark pipeline from S3 to PostgreSQL with quality checks
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md23.5 KB

    Origin and licence

    Listed unmodified

    Author
    reason-machines
    Source
    github.com/reason-machines/data-skills/tree/25d6ee79eea935ef4be1ee375a5777b2ad259f0a/skills/spark-data-engineering-pipeline
    Licence
    MIT

    Notice

    « spark-data-engineering-pipeline » (reason-machines, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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