• Avid MAM and AXF metadata engineering. • Analyze and process Avid AXF exports for assignments, stories, clips, and media objects. • Extract, validate, and troubleshoot metadata using Python-based tooling. • Understand and work with Avid project hierarchies, relationships, and legacy metadata structures. • Retrieve and validate media object locations via archive APIs. • Identify and resolve corrupted exports, inconsistencies, and legacy formatting issues. • Metadata transformation and MAM ingest. • Design and implement transformation workflows to convert Avid metadata into flat, normalized JSON. • Map Avid fields to target MAM schemas and ingest specifications. • Generate and validate MAM compliant sidecar JSON files. • Support end to end ingest testing and verify correct asset representation and proxy generation. • Media validation and migration readiness. • Validate media completeness across Avid, archive systems, and object storage. • Perform checksum verification, object existence checks, and readiness validation. • Support preparation of migration manifests for bulk transfer workflows. • Identify and resolve mismatches between metadata and physical media. • Python workflow engineering. • Enhance Python workflows used for metadata extraction, transformation, and orchestration. • Implement robust error handling, detailed logging, and recoverable execution paths. • Optimize pipelines for high volume archival workloads. • Collaborate closely with technical stakeholders to validate logic and improve tooling. • Ingest verification and documentation. • Verify successful migration and ingest into the new MAM and cloud storage. • Confirm metadata accuracy, media presence, and correct asset linkage. • Produce detailed documentation, workflow diagrams, and operational runbooks. • Contribute to testing cycles, validation reviews, and regular status reporting.