Spark Engineer

by jeffallan1be15d8064f8MIT11K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 days ago

Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.

  1. 1be15d8064f8Currentcommit 1be15d8Published Oct 8, 2026

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Source:jeffallan/claude-skillsinskills/spark-engineerat commit1be15d8

License: MIT

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