Fabric Data engineering

I am standing up a new lakehouse environment in Microsoft Fabric and require hands-on help to get it production-ready. The work centres on three areas:

• Data ingestion and ETL processes – build and automate pipelines that pull from our relational databases and selected big data sources, land the raw files in OneLake, and transform them into curated Delta tables.
• Data storage optimization – tune the lakehouse for performance and cost, including partitioning, schema design, and proper use of Fabric shortcuts and caching so the solution remains efficient at a sub-1 TB scale yet is poised to grow.
• Data visualization and reporting – create a usable semantic model and a set of Power BI reports that business users can access directly from the Fabric workspace.

The environment is already provisioned; you will connect, configure, and document everything so that my team can operate it after hand-off. Please outline in your proposal any prior projects with Microsoft Fabric (or Synapse/Azure Data Factory experience that translates), typical turnaround times, and which tooling you prefer for CI/CD and version control.

Deliverables will be validated once the pipelines run end-to-end, the storage layer meets agreed performance benchmarks, and the reports refresh without error.