sk Skill · ivanshamaev
pyspark_etl
Use when designing, implementing, reviewing, or optimizing production PySpark ETL/DataFrame pipelines at GB-TB+ scale, including schemas, joins, partitioning, window functions, writes, UDF avoidance, and Spark performance diagnostics.
Open on skills.sh ↗read 2026-09-15
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python
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