Add logging checkpoints with Data Tables

The team needs a lightweight audit trail so they can see how many items moved through each stage of a contact-ingestion pipeline without changing the main data shape.

You'll import a starter workflow, create an execution_log data table, then insert checkpoint rows after the HTTP Request, Transform Data, and Format Output nodes using Data Table Insert row nodes. You'll finish by reading the log with a Data Table Get row(s) node to confirm three entries with step, item_count, and timestamp fields.