
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/partitioning-caching.md | 14.5 KB | text/markdown |
| references/performance-tuning.md | 15.5 KB | text/markdown |
| references/rdd-operations.md | 16 KB | text/markdown |
| references/spark-sql-dataframes.md | 13.5 KB | text/markdown |
| references/streaming-patterns.md | 20 KB | text/markdown |
| SKILL.md | 6.6 KB | text/markdown |
Source and attribution
Source:jeffallan/claude-skillsinskills/spark-engineerat commit1be15d8
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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