Our Services

Data Platform Expertise, End to End.

From architecture design to platform modernization and AI readiness, GIT Solutions delivers the deep technical and strategic expertise enterprise organizations need to build data platforms that last.

Enterprise Data Architecture

Design platforms built to scale.

We design enterprise data architectures that align with your business strategy, support current workloads, and create a clear path to advanced analytics and AI. With experience spanning multiple generations of Microsoft data technologies — from SQL Server 7.0 through Microsoft Fabric — we bring a depth of perspective that informs every architectural decision.

What's included

Current-state architecture assessment and gap analysis
Target-state architecture design and roadmap
Data platform modernization strategy
Multi-cloud and hybrid architecture planning
Architecture governance and standards development

Data Warehousing & ETL/ELT

Trusted data, delivered reliably.

We build and optimize enterprise data warehouses and data integration pipelines that move, transform, and deliver high-quality data at scale. Our approach emphasizes reliability, performance, and maintainability — so your data warehouse becomes a trusted asset, not a liability.

What's included

Enterprise data warehouse design and build
ETL/ELT pipeline development and optimization
Legacy data warehouse migration and modernization
Data quality and lineage implementation
Performance tuning and scalability planning

BI Modernization

Move beyond legacy reporting.

We lead organizations through the full journey of BI modernization — from assessing legacy environments to migrating to Power BI and Microsoft Fabric, with governance, semantic models, and adoption strategies built in. The result is a modern analytics platform your business actually uses.

What's included

Legacy BI platform assessment and migration planning
Power BI and Microsoft Fabric implementation
Semantic model and data model design
Report and dashboard migration
Analytics adoption and change management

Microsoft Azure & Fabric

The full Microsoft data stack, mastered.

Deep expertise across the complete Microsoft enterprise data platform — Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Power BI, and SQL Server. We help organizations leverage the Microsoft ecosystem to its full potential, with architectures that are integrated, governed, and cost-optimized.

What's included

Microsoft Fabric architecture and implementation
Azure Synapse and Data Factory development
Azure Data Lake design and governance
Power BI Premium and Fabric capacity planning
Microsoft data platform consolidation and optimization

Data Governance

Make data trustworthy at scale.

We help organizations establish the policies, processes, and tooling that make data trustworthy, discoverable, and compliant — across business units, geographies, and platforms. Effective governance is the difference between a data platform that gets used and one that gets abandoned.

What's included

Data governance framework design and implementation
Data catalog and metadata management
Data quality program development
Master data management strategy
Regulatory compliance and data privacy support

AI Readiness & Automation

Build the foundation AI requires.

Enterprise AI initiatives succeed or fail based on the quality of the data beneath them. We assess your current data environment, identify gaps, and architect the clean, governed, and accessible data foundations that AI, Copilot, and machine learning initiatives depend on — including Azure AI services integration and GitHub/Azure DevOps automation.

What's included

AI readiness assessment and data foundation audit
Azure AI services integration planning
Microsoft Copilot data readiness
Automation and DevOps for data pipelines
Machine learning data platform enablement

Get Started

Not sure where your platform stands?

We start with a thorough assessment of your current environment — so every recommendation is grounded in reality, not assumptions.

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