Robust, authenticated connectors for any data source—REST APIs, databases, SaaS platforms, file feeds, or Dataverse. Secrets managed through Azure Key Vault with OAuth, client credentials, service principals, or managed identities.

• Multi-source API orchestration (Graph, Purview, billing, custom)
• Automated scheduling with partition-based extraction
• Incremental sync and delta queries for efficiency
• Full-replay capability from immutable raw archives

Automated pipelines that handle nested JSON flattening, deduplication, cross-source joins, and operation categorization. Bronze / Silver / Gold medallion lakehouses on Microsoft Fabric or Azure-native stacks—every layer purpose-built.

• OneLake or ADLS Gen2 with date-partitioned storage
• Complex JSON → flat columnar schema transforms
• Cross-source enrichment (UPN matching, org hierarchy joins)
• Lifecycle policies (hot / cool / archive) for cost optimization
• Zero-local-storage designs that scale without infrastructure overhead
• Platform guidance: Fabric vs. Azure Functions + Synapse
• Error handling, retry logic, and pipeline monitoring built in

Purpose-built dimensional models that turn raw data into query-ready analytics. Fact and dimension tables, calculated KPIs, and row-level security—designed for performance with pre-materialized Gold tables or dynamic query-time computation.

• Star schema design with proper grain and cardinality
• DAX measures, calculated columns, and KPI frameworks
• Row-level security scoped to departments, roles, or regions
• Pre-materialized vs. dynamic Gold layer trade-off analysis

Production Power BI reports, interactive web dashboards, and custom API endpoints—all reading from the same curated Gold layer. One trusted source of truth instead of a dozen separate API connections.

• Direct Lake, Import, and DirectQuery modes
• Department, workload, and time-series drill-down views
• Custom HTML dashboards with real-time data reads
• Embedded analytics for Teams, portals, or custom apps

Architecture reviews, platform selection, cost modeling, and phased implementation roadmaps—from foundation through go-live. Training, documentation, and full handover so your team owns the system.

• Architecture reviews and platform decision frameworks
• Cost modeling across Fabric CU-based and Azure consumption plans
• Phased roadmaps: foundation → pipelines → transforms → BI layer
• Training, documentation, and handover for your team