Build a metadata-driven Azure Data Factory pipeline: a control table in Azure SQL, Lookup and ForEach fan-out, a parameterised Copy activity landing Parquet in ADLS Gen2, and per-entity run logging.
Enterprise practices for Azure Data Lake Storage Gen2: account topology, redundancy, directory layout, file sizing, RBAC versus ACLs, private endpoints, HNS feature support and lifecycle tiering.
What belongs in the bronze, silver and gold layers of a lakehouse, with a worked PySpark and Delta example, a placement guide for common tasks, and the trade-offs behind how strictly to follow the pattern.
A design guide for Azure Data Factory pipelines that survive production: orchestrator and worker pipelines, parameters, idempotent windows, timeouts and retries, concurrency, secrets, monitoring and CI/CD.
A guided build of a lakehouse-style data platform on Azure: ADLS Gen2, Data Factory, Databricks with Unity Catalog, Key Vault and Azure Monitor, deployed with Bicep and wired together with managed identities.