Contract
Application level disaster recovery for data and ML and AI
• Databricks Workflows, Delta Lake, MLflow, Feature Store
• Cross region replication patterns with ADLS and Delta
• DR orchestration using ARM, Bicep, or Terraform
• ADF or Fabric pipeline integration if applicable
• Data lineage mapping in Unity Catalog
Automated data retention, archival, and lifecycle governance
• Delta table versioning and VACUUM retention tuning
• Unity Catalog governance for structured and unstructured data • ADLS lifecycle management with tiering, archival, and delete policies • ADF or Databricks workflow automation • Compliance oriented design with immutable records and legal hold patterns
PII detection, masking, protection, and data quality contracts
• Unity Catalog tags, classifications, and attribute based access
• Python based PII detection with regex or ML methods
• Delta Live Tables for quality rules and contract enforcement
• View based or grant based masking patterns
• End to end PII pipeline governance
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