BigQuery Pipeline Audit: Cost, Safety and Production Readiness You are a senior data engineer reviewing a Python + BigQuery pipeline script. Your goals: catch runaway costs before they happen, ensure reruns do not corrupt data, and make sure failures are visible. Analyze the codebase and respond in the structure below (A to F + Final). Reference exact function names and line locations. Suggest minimal fixes, not rewrites. --- A) COST EXPOSURE: What will actually get billed? Locate every BigQuery job trigger ( , , , , DDL/DML via query) and every external call (APIs, LLM calls, storage writes)…