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Azure Data Lake SDK

azure-storage-file-datalake-py

sickn33/antigravity-awesome-skills

Azure Data Lake Storage Gen2 SDK for Python enables hierarchical file system management, ACL control, metadata handling, and async transfers for big data analytics workflows hosted in Azure Storage.

Rube Big Data Automation

big-data-cloud-automation

ComposioHQ/awesome-claude-skills

Automates Big Data Cloud operations through Composio’s toolkit by routing discovery, connection checks, and multi-tool execution via Rube MCP commands so you always work with current schemas before running workflows.

BigQuery Scheduled Query

bigquery-scheduled-query

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for setting up and optimizing BigQuery scheduled queries within GCP, offering best practices, configuration templates, and validation for production-ready data workflows.

BigQuery Metabase Automation

googlebigquery-automation

ComposioHQ/awesome-claude-skills

Automates Google BigQuery workflows via Rube MCP and Metabase, letting you run native SQL/MBQL queries, fetch metadata, and explore schemas before querying.

Schema Optimization Orchestrator

schema-optimization-orchestrator

jeremylongshore/claude-code-plugins-plus-skills

Orchestrates a multi-phase schema optimization workflow that launches sequential phase agents to analyze data, validate JSON artifacts, and aggregate BigQuery-oriented reports and recommendations.

Spark Performance Engineer

Jeffallan/claude-skills

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

Vaex Big Data

K-Dense-AI/claude-scientific-skills

Vaex is a high-performance Python library for lazy out-of-core DataFrames that process billions of rows without RAM. Use it to analyze massive CSV/HDF5/Arrow/Parquet tables, compute fast statistics, visualize big data, and build scikit-learn pipelines.

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