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I will design microsoft fabric lakehouse, data pipelines, and enterprise analytics
About this Gig
Are you looking to modernize your data stack with Microsoft Fabric? As a Senior BI Architect with 8+ years of enterprise analytics experience, I build fast, scalable Fabric Lakehouses and automated pipelines that convert raw data into executive insights.
What I Offer:
- Lakehouse Architecture: Delta Lake schemas, OneLake structures, and optimized storage layers.
- Data Factory Pipelines: Automated ETL/ELT pipelines connecting SQL, REST APIs, and databases.
- Direct Lake & Semantic Models: High-performance Power BI models using Direct Lake mode for sub-second querying.
- Legacy System Migration: Upgrading legacy SQL, Azure Synapse, or Power BI models into Fabric.
- Security & Governance: Row-Level Security (RLS), workspace permissions, and capacity management.
Why Work With Me?
- Enterprise Experience: 8+ years building enterprise analytics architectures.
- Scalable Solutions: Production-grade setups engineered to process high-volume workloads smoothly.
Please message me before ordering to discuss your Fabric capacity and project requirements!
Warehouse Platform:
Fabric Warehouse
Project Type:
New Build
FAQ
Do I need an active Microsoft Fabric capacity before starting?
Yes. You will need an active Microsoft Fabric capacity (F SKU) or a Fabric trial enabled in your Power BI / Azure tenant, along with workspace admin or contributor permissions.
Can you migrate our existing SQL Server, Azure Synapse, or Power BI models to Fabric?
Absolutely. I specialize in migrating legacy SQL databases, Synapse warehouses, and standard Power BI datasets into Fabric Lakehouses and Direct Lake semantic models.
How do you handle data security and access control in Fabric?
I set up proper workspace roles, workspace item permissions, and Row-Level Security (RLS) within semantic models to ensure users only see data they are authorized to view.
Will you provide documentation and handoff for our internal team?
Yes. Every project includes architectural documentation, pipeline mapping, and a video walkthrough/consultation to ensure your team can easily maintain the solution.
Which data sources can be ingested into the Fabric Lakehouse?
Using Data Factory pipelines, I can ingest data from SQL Server, PostgreSQL, Azure SQL, Snowflake, Salesforce, REST APIs, Webhooks, and flat files (CSV/Excel).
