MICROSOFT FABRIC SPECIALIZATION

Build and Modernize Data Platforms with Microsoft Fabric

Architecture, migration, data engineering, OneLake, Lakehouse, Data Factory, Warehouse, Power BI, and platform optimization.

OneLake
Lakehouse
Data Factory
Data Warehouse
Power BI
Migration
Explore CapabilitiesView Case Studies
Microsoft Fabric Platform Architecture Diagram

We help organizations design, build, migrate, and optimize modern data platforms using Microsoft Fabric. Our team includes Microsoft Fabric-certified engineers and more than 30 experienced data engineers with hands-on expertise across enterprise data engineering, cloud modernization, analytics, business intelligence, data integration, and platform operations.

END-TO-END CAPABILITIES

Our Microsoft Fabric Expertise

From building new data platforms to modernizing legacy environments, we support the complete Microsoft Fabric engineering lifecycle.

Microsoft Fabric Architecture & Platform Engineering

We design scalable Microsoft Fabric architectures aligned with business, analytics, security, and operational requirements.

Our capabilities include:
  • Microsoft Fabric strategy and readiness assessment
  • OneLake architecture and data organization
  • Lakehouse and Data Warehouse architecture
  • Workspace, domain, and environment design
  • Bronze, Silver, and Gold medallion architecture
  • Capacity planning and workload organization
  • Security, governance, and operating model design
  • Architecture standards and reusable engineering patterns

OneLake & Lakehouse Engineering

We build enterprise data lakehouse solutions using Microsoft Fabric Lakehouse, OneLake, Delta Lake, Apache Spark, notebooks, and SQL.

Our capabilities include:
  • OneLake and Fabric Lakehouse implementation
  • Medallion architecture development
  • Delta table design and management
  • Batch and incremental data processing
  • Structured and semi-structured data ingestion
  • PySpark, Python, Spark SQL, and T-SQL development
  • Fabric notebooks and Spark job development
  • Reusable ingestion and transformation frameworks
  • Data validation and reconciliation
  • Analytics-ready data product development

Fabric Data Factory & Data Integration

We build and modernize enterprise data pipelines using Fabric Data Factory.

Our capabilities include:
  • ETL and ELT pipeline design
  • Batch and incremental ingestion
  • Dataflow Gen2 development
  • Copy jobs and large-scale data movement
  • Pipeline orchestration and dependency management
  • Metadata-driven ingestion frameworks
  • Integration with databases, APIs, applications, files, and cloud storage
  • Scheduling, monitoring, alerting, and error handling
  • Data quality and exception management
  • Integration of pipelines, notebooks, warehouses, and semantic models

Fabric Data Warehouse Engineering

We design and implement scalable enterprise data warehouses using Microsoft Fabric Warehouse.

Our capabilities include:
  • Enterprise data warehouse and data mart design
  • Dimensional modeling and star schemas
  • Fact and dimension table development
  • T-SQL development
  • Stored procedure, view, and function development
  • Curated analytics and reporting layers
  • Data loading and transformation patterns
  • Warehouse security and access controls
  • Query and workload optimization
  • Integration with Power BI and Fabric Lakehouse

Microsoft Fabric Migration & Modernization

We help organizations migrate legacy databases, data warehouses, ETL platforms, and analytics workloads to Microsoft Fabric.

Our capabilities include:
  • Source platform assessment & database inventory
  • Dependency and lineage analysis
  • Compatibility and feature-gap assessment
  • Target Fabric architecture planning
  • Schema and code conversion
  • Pipeline and stored procedure modernization
  • Data migration and reconciliation
  • Testing, validation, wave planning and cutover

Power BI & Semantic Model Engineering

We prepare trusted business data for reporting, self-service analytics, and enterprise decision-making.

Our capabilities include:
  • Power BI semantic model design
  • Direct Lake architecture implementation
  • Dimensional and business-friendly data models
  • DAX measures and calculations
  • Row-level and object-level security
  • Certified and reusable semantic models
  • Executive and operational dashboards
  • Report performance optimization
  • Integration of Fabric engineering and Power BI delivery

Real-Time Intelligence

We help organizations build real-time analytics solutions using Microsoft Fabric Real-Time Intelligence.

Our capabilities include:
  • Eventstream implementation
  • Eventhouse and KQL database development
  • Kusto Query Language development
  • Log, telemetry, and event analytics
  • Real-time dashboards & operational monitoring
  • Event-based alerts and actions
  • Integration of streaming and historical data

Data Governance & Security

We incorporate governance and security throughout the Fabric implementation lifecycle.

Our capabilities include:
  • Microsoft Entra ID-based access design
  • Workspace and item-level security
  • OneLake data access controls
  • Row-level and column-level security
  • Sensitivity labels and information protection
  • Data lineage and impact analysis
  • Microsoft Purview integration
  • Audit, compliance, and operational controls

DevOps, CI/CD & Platform Operations

We establish repeatable development, deployment, and operational practices for Microsoft Fabric.

Our capabilities include:
  • Development, test, and production workspace design
  • Git integration and source control
  • Fabric deployment pipelines & release management
  • Environment-specific configuration
  • Automated deployment using supported Fabric APIs
  • Monitoring, logging, and alerting
  • Production readiness reviews & platform optimization
MODERNIZATION & MIGRATION

Migration & Modernization Platforms We Support

We support migration and modernization initiatives across enterprise data sources to Microsoft Fabric.

SQL Server
Azure Data Factory
Azure Synapse Analytics
Traditional Data Warehouses
Legacy ETL Platforms
Existing Power BI Environments
On-premises & Cloud Platforms
DELIVERY FRAMEWORK

How We Deliver Microsoft Fabric Solutions

A structured 7-step delivery model from initial source assessment through architecture, development, validation, and operational deployment.

1

Assess

Inventory, lineage, complexity

2

Architect

OneLake, domains, patterns

3

Design

Medallion, pipelines, security

4

Build

Data Factory, Lakehouse, Warehouse

5

Validate

Testing, reconciliation, tuning

6

Deploy

Git integration, CI/CD, cutover

7

Operate

Capacity monitoring, Purview, support

PROVEN RESULTS

Representative Microsoft Fabric Case Studies

View All Case Studies
8-day SQL Server + SSIS to Fabric Assessment

SQL Server and SSIS to Microsoft Fabric: An 8-Day Source-Connected Migration Assessment for a P&C Insurer

SQL Server and SSIS migrations to Microsoft Fabric need clear source visibility before execution begins. For a US property and casualty insurer, the source estate included on-premises SQL Server 2019, SSIS-based ETL, stored procedures, views, SSIS packages, and SQL Agent jobs supporting policy and claims analytics. The migration had to preserve complex business logic while moving toward Fabric's hybrid Warehouse and Lakehouse pattern. The team needed a plan it could act on, not another high-level strategy document. The 8-business-day Modernization Canvas read the estate directly, produced source-connected inventory, scored object-level Fabric Warehouse compatibility, classified SSIS packages by migration approach, designed the hybrid target architecture, and reviewed representative T-SQL to Fabric T-SQL conversions under senior architect oversight.

Modernization Canvas
Read more
OUR EXPERTISE

Why Choose Our Microsoft Fabric Team?

Certified engineers, proven delivery frameworks, and end-to-end platform capabilities.

Microsoft Fabric-Certified Expertise

Our team includes Microsoft Fabric-certified engineers with practical experience across data architecture, data engineering, migration, analytics, Power BI, and platform optimization.

30+ Data Engineering Professionals

Our broader data engineering team includes more than 30 professionals who can support architecture, development, migration, testing, deployment, and ongoing platform operations.

End-to-End Delivery Capability

We support the complete Microsoft Fabric lifecycle, including:

Strategy and architecture
Platform implementation
Data engineering & Lakehouse design
Migration and modernization
Power BI and semantic models
Data quality and validation
Governance and security
DevOps and production support

Practical Data Engineering Experience

Our team combines Microsoft Fabric platform knowledge with enterprise experience across SQL, data warehousing, ETL and ELT, dimensional modeling, Spark, PySpark, data integration, reporting, and analytics.

COLLABORATION

Flexible Engagement Models

We tailor our engagement model to align with your organization’s timelines, capabilities, and governance structures:

End-to-end Microsoft Fabric implementation
Defined migration or modernization workstreams
Architecture and advisory services
Data engineering team augmentation
Power BI and analytics delivery
Platform optimization and production support

Frequently Asked Questions

Answering common questions about 3X Data Engineering to help you get started on your modernization journey.

We provide Microsoft Fabric architecture, OneLake implementation, Lakehouse engineering, Fabric Data Factory development, Data Warehouse implementation, migration, Power BI integration, Real-Time Intelligence, governance, DevOps, and platform optimization services.
Yes. Our team includes Microsoft Fabric-certified engineers with hands-on data engineering, architecture, migration, analytics, and implementation experience.
Our data engineering practice includes more than 30 professionals supporting enterprise data platform, migration, analytics, and modernization programs.
Yes. We support SQL Server to Microsoft Fabric migration, including source assessment, dependency analysis, schema conversion, data migration, ETL modernization, validation, Power BI integration, and phased cutover planning.
Yes. We design and build Microsoft Fabric platforms using OneLake, Lakehouse, Data Warehouse, Fabric Data Factory, Power BI, Real-Time Intelligence, governance, and security capabilities.

Build a Reliable, Scalable Microsoft Fabric Data Platform

From OneLake and Lakehouse implementation to Data Factory pipeline engineering and Power BI Direct Lake optimization, we help organizations build secure, governed, and analytics-ready enterprise data platforms.

View case studies

Let's talk scale

Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.

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