We already use Power BI Premium. Should we move to Microsoft Fabric?

Microsoft’s capacity licensing is moving towards Fabric capacities, so most Premium customers will need a plan. A consultant can review your licensing, workloads and timelines, then plan the move and the Fabric features worth adopting.

Can you fix slow Power BI reports?

Yes. Consultants profile the report and model, then address the causes — model design, DAX patterns, relationships, storage mode or refresh configuration — and explain each change.

Do you build the reports or only the data platform?

Both. Engagements can cover data engineering in Fabric, semantic modelling and report development, or any one of these alongside your existing team.

Can you migrate us from Azure Synapse Analytics to Fabric?

Yes. A migration starts with an assessment of pipelines, SQL pools and Spark workloads, followed by a phased plan with validation, so reporting continues while you move.

Can your consultants also train our team?

Yes. Instrovate also delivers Microsoft certification training for PL-300, DP-600 and DP-700, so handover can include structured enablement for your analysts and engineers.

Consulting for organisations

Microsoft Fabric and Power BI Consultants

Microsoft Fabric brings data engineering, warehousing, real-time analytics and Power BI into one platform. Fabric and Power BI consultants help you set it up properly, move existing workloads onto it, and give business users reports they can trust.

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What the role does

They cover the full path from source data to decision: ingesting and shaping data in OneLake, modelling it into clean semantic models, and building Power BI reports that are fast, secure and easy to maintain.

Typical responsibilities

Plan Fabric workspaces, capacities and the OneLake structure
Build lakehouses, warehouses, Data Factory pipelines and Dataflows Gen2
Design star-schema semantic models with well-tested DAX measures
Use Direct Lake and incremental refresh where they suit the workload
Build Power BI reports and dashboards with row-level security
Set up deployment pipelines and Git integration for controlled releases
Migrate from Azure Synapse Analytics, SQL Server Analysis Services or Power BI Premium capacities
Diagnose and fix slow reports, heavy models and failing refreshes

Skills

OneLake, Lakehouse and Warehouse
Data Factory and Dataflows Gen2
Real-Time Intelligence
Power Query (M)
DAX and semantic modelling
Direct Lake
Microsoft Purview
Git integration and deployment pipelines

Relevant certifications

Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Each proposed engineer’s own certifications are listed on their profile, so you can check them before deciding.

Engagement options

Choose the shape that fits the work. Scope, working hours and commercials are agreed with you after a scoping call.

Single engineer

One specialist joins your team for a defined scope or a continuing role, working inside your tools and processes.

Small pod

Two or more engineers with complementary skills — for example an architect alongside data engineers — delivering as one unit.

Project-based

A scoped outcome with agreed milestones, deliverables and acceptance criteria, rather than open-ended time.

Ongoing support

Continued maintenance, monitoring and enhancements once your platform or solution is in production.

Frequently asked questions

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Tell us who you need

Share the role and context. We reply to arrange a short scoping call and then share suitable engineer profiles for you to review.

Other roles

Forward Deployed Engineers →Databricks Consultants →Data Architects →

Prefer to talk it through?

Message our team on WhatsApp with a short outline of what you need.

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