medium

Apply enterprise naming standards to Databricks SQL DDL, especially CREATE TABLE statements. Use when a user asks to standardize, fix, or review schema, table, or column names.

Create a Databricks lakehouse pipeline design doc (bronze/silver/gold, DLT or Jobs), including SLAs, data quality, Unity Catalog governance, monitoring, and an implementation checklist. Use when designing or reviewing ETL/ELT pipelines, DLT pipelines, streaming ingestion, CDC, or batch jobs on Databricks.

Review and improve Databricks SQL queries for correctness, readability, and performance (joins, filters, aggregations, partition pruning). Use when someone pastes a SQL query, asks why it is slow, or requests a rewrite/optimization in Databricks SQL.

Generate standardized team templates (project kickoff, data contract, incident postmortem/RCA, weekly status update, Unity Catalog access request). Use when someone asks for a template, PRD/1-pager, design doc, postmortem, weekly update, data contract, or access request.