Governed data access patterns for Databricks workloads at Alpura. Load when writing or reviewing data.py, SQL, Unity Catalog references, table reads, filters, or query failures. Enforces three-part names, Gold-only reads for UI apps, WorkspaceClient Statement Execution in Databricks Apps, spark.table() in notebooks and Lakeflow pipelines, parameter binding, structured logging, and DataAccessError boundaries.
