Financial Services platforms routinely ingest XML and JSON embedded in opaque fields, creating tension between audit fidelity and analytical usability. This article presents a regulator-defensible approach to handling such payloads in the Bronze layer: landing raw data immutably, extracting only high-value attributes, applying attribute-level SCD2, and managing schema drift without data loss. Using hybrid flattening, temporal compaction, and disciplined lineage, banks can transform messy blobs into audit-grade Bronze assets while preserving point-in-time reconstruction and regulatory confidence.