
Umair Shahid
Power BI, Microsoft Fabric and Azure Data Engineer
Skills

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Werkervaring
RHP Group
Fulltime • 4 yrs
Business Intelligence Performance Analyst
Jun 2026 - Sep 2026 • 3 mos
Analytics engineering lead on the migration of source systems into a centralized data hub on Azure Databricks and Microsoft Fabric. • Authored source-to-target and column-level mappings, translating business requirements into Databricks ETL transformation rules • Defined and ran pipeline validation: reconciliation, record counts, business-rule testing and UAT before production releases • Designed and optimized Power BI semantic models over star schemas with DAX, hierarchies and Row-Level Security • Integrated Dynamics 365 CRM, SQL Data Warehouse, Databricks and Fabric data for KPI, SLA and benchmarking reporting • Produced monthly performance scorecards for board-level reporting in a regulated environment
Power BI Analyst
Sep 2022 - Jun 2026 • 3 yrs 9 mos
Built and maintained Power BI reporting for operational, executive and regulatory audiences. • Built a Property Compliance solution that automated monthly data validation and scorecard preparation, reducing manual effort by 80% • Consolidated repairs data from multiple source systems into a near real-time dashboard suite for operational and executive teams • Developed a Tenant Satisfaction data model tracking repair satisfaction, ASB handling and maintenance KPIs • Owned data validation and source-to-target reconciliation across monthly compliance and performance reporting • Delivered weekly Early Warning Indicator reports to the Executive Team and monthly HouseMark regulatory benchmarking returns
Data Engineer / BI Developer
Digiware Solutions • Freelance
Mar 2025 - May 2025 • 2 mos
Part-time remote engagement delivering Azure data pipelines and reporting. • Built Azure Data Factory and Azure Synapse pipelines (linked services, datasets, orchestration) loading from Azure SQL, Blob Storage and Azure SQL Data Warehouse • Migrated on-premises databases to Azure Data Lake with Azure Data Factory as part of a cloud modernization effort • Implemented Slowly Changing Dimension Type 1 and Type 2 patterns in ADF and Synapse • Developed Power BI datasets and reports on top of the new pipelines for enterprise reporting