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querying-data-lake

Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).

skills/specialized-skills/analytics-skills/querying-data-lake/SKILL.md

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Nov 6, 2026
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# Query Data Lake

Execute SQL queries on Amazon Athena across default and federated catalogs (Glue, S3 Tables, Redshift) with workgroup selection, statement classification, and error recovery.

## Overview

Executes and manages Athena SQL queries across default and federated catalogs. Selects a workgroup, resolves target assets (delegating fuzzy references to `finding-data-lake-assets`), classifies statements for safety, and reports cost and data scanned. Use the AWS MCP server for sandboxed execution and audit logging; the same AWS CLI commands work directly when the MCP server is not available.

**Constraints for parameter acquisition:**

- You MUST accept a single optional argument: SQL text, a named-query name, a workgroup name, a catalog name, or `profile TABLE_NAME`
- You MUST accept the argument as direct text or a pointer to a file containing SQL
- You MUST ask the user for the target AWS region if not already set
- You MUST confirm the output S3 location before executing any non-trivial query