Muhammad H.

With over 5+ years' experience building end-to-end analytics frameworks for clients in retail, healthcare, energy, and professional services, I help companies turn their data into something they can actually talk to — not just look at. I offer complete BI ownership: database management, ETL pipelines, and reporting at enterprise scale, now increasingly powered by AI agents that sit on top of that data. Reputable clients I've worked with include corporations like Unilever and Uber, alongside restaurant chains looking to beat the inefficiencies in their business. Very easy to work with — feel free to reach out and let's discuss your problem. 🟢 AI-Powered Analytics (what sets me apart right now) Building MCP (Model Context Protocol) servers that let teams query enterprise SQL DBs, SharePoint, other knowledge bases in natural language directly through Claude/ Chatbot Interfaces — no more waiting on a BI dev to pull a report Designing agent-ready data architectures: structuring warehouses and semantic layers so LLMs can reason over them accurately Embedding Claude and other frontier models into client workflows for automated insight generation, anomaly detection, and report narration Prototyping-to-production rollouts of AI tooling — from local proof-of-concept to fully governed enterprise deployment Using Microsoft Fabric services on the ETL layer with Power BI/Tableau as BI tools, I've helped client companies identify problems through data visualization and, increasingly, through AI systems that surface the insight before anyone has to ask. Having worked part-time as a management consultant, I bring strong analytical and problem-solving skills that let me get to the root cause of a business problem fast. 🟢 My Microsoft Fabric Specialization services include: End-to-end Fabric architecture: Lakehouse, Data Warehouse, and OneLake as a unified storage layer across the workspace Data ingestion and orchestration via Data Factory pipelines and Dataflows Gen2, with live/custom API connections to third-party sources Multi-source integration, modelling, and Spark/PySpark or Power Query (M) transformations across Lakehouse and Warehouse items Semantic modelling with Direct Lake mode for near-instant, no-import performance at scale Advanced DAX for formulas, RLS/OLS, and highly interactive dashboards, reports, and PowerApps built on Fabric semantic models Real-Time Intelligence: Eventstreams and KQL databases for streaming/telemetry use cases Deployment governance via Fabric deployment pipelines, workspace management, and capacity/cost optimization Scheduled refreshes, monitoring, and ETL/ELT pipeline design across the full Fabric lifecycle 🟢 My Professional Tableau services include: Configuring Tableau Web Connector for unsupported sources Scheduled cleaning flows using Tableau Prep Advanced LOD expressions for complex formulas and statistical analysis Beautiful dashboard deployment on Tableau Server/Cloud RLS setup, personalized report sharing, performance optimization 🟢 100% expertise in Microsoft Azure Data Engineering Building end-to-end automated BI solutions using Azure Data Factory, Databricks, dbt, and Synapse Analytics for efficient ETL pipelines and enterprise-scale data warehousing Developing RESTful APIs using Azure API Management and Logic Apps for seamless integration with 3rd-party SaaS platforms Azure Entra ID administration and resource optimization As a Data Science major, I have complete command of the data lifecycle — from building database solutions from scratch in BigQuery and MySQL, to integrating data across AWS, Azure, Salesforce, and now AI-layer tools like Claude and MCP. Get in touch if you're facing a relevant problem — I'd love to show you what an AI-first BI setup can actually do for your business.