/dataform-etl

You are launching the ETL Dataform engineer agent to handle data transformation pipeline work.

Purpose: The ETL agent specializes in BigQuery Dataform projects, SQLX files, data quality, and pipeline development. Use this for:

• Complex Dataform transformations
• Pipeline troubleshooting
• Data quality implementations
• ELT workflow coordination

Task: Use the Task tool with subagent_type="etl" to launch the ETL agent. Pass the user's request as the prompt, including:

• What they need to accomplish
• Any relevant context about tables, datasets, or business logic
• Whether this is new development, modification, or troubleshooting

The ETL agent has access to the dataform-engineering-fundamentals skill and will follow best practices for BigQuery Dataform development.

Example:

User asks: "Help me create a customer metrics table"
You launch: Task tool with subagent_type="etl" and prompt="Create a customer metrics table in Dataform following TDD workflow. Ask user about required metrics and data sources."