Data Warehouse and Lakehouse Design
Secure and scalable architectures across Azure Synapse, Databricks, Microsoft Fabric, SQL Server, and modern cloud data platforms — designed for analytics, ML, and governed AI workloads.
Data Architecture Practice · Data Fusion Analytics
Modern Data Architecture for Analytics, AI, and Governance
We design and modernize secure, scalable data warehouse, lakehouse, ETL/ELT, and analytics platforms that support trusted reporting, governed AI, and enterprise decision-making.
ETL/ELT Architecture and Automation
Pipeline design, optimization, and orchestration across Azure Data Factory, SSIS, Databricks workflows, and Synapse pipelines — with embedded data quality checks and performance tuning.
Cloud Data Platform Modernization
Migration from legacy data platforms, lakehouse modernization, cost optimization, environment design, CI/CD, DevOps, and platform governance.
Analytics and Reporting Enablement
Power BI, Tableau, semantic models, reporting architecture, executive dashboards, and trusted business metrics that leadership can rely on.
Data Governance and Security
Data access controls, lineage, metadata management, auditability, data quality, compliance support, and secure data platform design — the foundation AI governance depends on.
Architecture meets Governance
The data platform is where AI governance is proven — or fails.
Identity attribution, lineage, access enforcement, and audit evidence all originate in the data platform. Our Data Architecture and AI Governance practices work together so the controls you promise your board are the controls your platform actually enforces.