Hire Microsoft Fabric Developers

Design and provision Fabric workspaces aligned with organizational structure, implementing role-based access, capacity assignment, and governance policies for secure collaboration.

Establish OneLake as the unified storage layer, configuring shortcuts to existing data sources and setting up folder structures that support both raw and curated data zones.

Build Lakehouse and Data Warehouse environments within Fabric, defining schemas, tables, and storage patterns optimized for analytical queries and reporting workloads.

Create initial semantic models (datasets) that abstract underlying data complexity, establishing reusable metrics, dimensions, and relationships for consistent reporting across teams.

Build automated data pipelines using Fabric Data Factory to extract, transform, and load data from source systems into OneLake, Lakehouse, or Data Warehouse targets with scheduling and monitoring.

Develop Dataflows Gen2 for no-code/low-code data preparation, implementing cleansing, enrichment, and business logic that prepares data for analytics and reporting.

Implement Eventstreams for real-time data ingestion from IoT devices, application logs, or transactional systems, routing live data to KQL databases or Lakehouses for immediate analysis.

Configure incremental refresh policies for large datasets, implement partitioning strategies, and optimize pipeline performance to reduce processing time and capacity consumption.

Build Power BI semantic models using Direct Lake mode, connecting reports directly to Lakehouse tables for real-time analytics without data import delays or memory limitations.

Create interactive dashboards, paginated reports, and mobile-optimized views that deliver insights to stakeholders, implementing drill-through navigation, bookmarks, and dynamic filtering.

Configure row-level security rules within semantic models to ensure users only access data they're authorized to view, supporting multi-tenant scenarios and regulatory compliance.

Integrate Power BI reports into custom applications, portals, or websites using Power BI Embedded, enabling white-label analytics experiences for external users or customers.

Connect Fabric workspaces to Microsoft Purview for data catalog, lineage tracking, and classification, enabling discovery and governance of data assets across your Fabric environment.

Apply sensitivity labels to datasets, reports, and Lakehouse tables, implementing automated classification rules that enforce protection policies based on data content and context.

Enable audit logging to track user activity, data access, and pipeline execution, providing compliance teams with visibility into data operations for regulatory reporting.

Implement workspace backup strategies, Git integration for version control, and disaster recovery procedures that protect critical data assets and enable rapid restoration if needed.

Monitor Fabric Capacity Metrics, identify bottlenecks in pipelines or queries, and optimize workloads through query tuning, caching strategies, and capacity scaling to maintain fast performance.

Analyze capacity consumption patterns, rightsize Fabric SKUs, pause unused workspaces, and implement autoscaling policies to reduce costs while maintaining performance SLAs.

Deliver hands-on training for data engineers, analysts, and business users on Fabric workspace navigation, pipeline management, semantic model usage, and report creation.

Expand Fabric implementation with new data sources, additional pipelines, advanced analytics features, and machine learning integration as business requirements evolve over time.