MCP | Sahil Mohsin — Architecting Data Governance, Analytics & Intelligent Insights

🎯 With 5+ years of hands-on experience, I'm an MCP Certified Azure Data & AI Specialist and Fabric Analytics Engineer who thrives at the intersection of data, cloud, and intelligence. πŸš€ From building end-to-end pipelines in Azure Data Factory and Synapse to crafting Python-powered machine learning models that drive decisions, I transform raw data into real business value. I blend technical expertise with a business mindset β€” integrating Dynamics 365, automating with Power Platform, and turning complexity into clarity. I also ensure enterprise-grade Data Governance, data quality, and secure handling across all platforms, aligning with compliance standards and stakeholder expectations. πŸ”πŸ“‹

πŸ’‘πŸ“Š Let’s team up and create bold, data-driven solutions that move your business forward!

5+ Years

Hands-on Experience in Data Governance, AI & Cloud Solutions

60+ BI Solutions

Delivered in Data Engineering, BI & Analytics Pipelines

Microsoft Certified

Azure Data Architect | Fabric Analytics | Power BI Expert

Enterprise Impact

Scalable Solutions Built for D365, ADF & Microsoft Fabric

2023 Mar – Present
Retail Sales Intelligence Project

Microsoft Telemtry Team – Microsoft Millions Of Daily Products Transactional Purchase Experience Analytics

Role: Senior Data Analytics Specialist


  • Led the migration of large-scale Power BI solutions into Microsoft Fabric for enhanced performance and unified data architecture.
  • Managed millions of daily transactional data points with robust transformation pipelines and high-availability design.
  • Developed end-to-end analytics workflows using Xflow, Asimov, and Scope, enabling real-time operational intelligence.
  • Created and managed virtual clusters in Asimov to efficiently process massive data volumes with optimized compute resources.
  • Built Azure Data Factory pipelines for seamless integration of structured and semi-structured sources.
  • Designed and delivered advanced Power BI dashboards to visualize customer behavior trends and track retail sales performance.
  • Implemented predictive analytics using Azure Data Services and Cosmos DB for actionable forecasting and financial modeling.
  • Established and maintained strong Data Governance practices, ensuring healthcare compliance, secure data modeling, and audit-readiness.
2022 Jun - 2023 Mar
Lifetime EDI Integration

Lifetime – Azure B2B EDI Integration and Sales Data Ingestion/Orchestration Development

Role: Azure Integration and Data Engineer


  • Designed EDI workflows using Azure Logic Apps and Azure Service Bus for seamless B2B communication with data governance compliance.
  • Developed scalable pipelines in Azure Data Factory to ingest and transform EDI files into structured, governed data formats.
  • Mapped EDI X12 messages to internal schemas using Azure Functions and custom mapping logic while enforcing strict data governance standards.
  • Performed rigorous integration testing, resolved EDI parsing and routing errors, ensuring high-throughput processing and data integrity.
  • Implemented logging and monitoring using Azure Monitor and Application Insights for comprehensive EDI tracking, diagnostics, and governance auditing.
  • Collaborated with cross-functional teams across development, QA, and DevOps for production deployment and ongoing support with focus on data governance and compliance.
  • Maintained detailed documentation and designed disaster recovery strategies for EDI services in Azure, ensuring business continuity and governance adherence.
2021 Dec – 2022 Jun
DP World CRM Project

DP World – D365 CRM Embedded Analytics Development

Role: Azure Data Engineer & Power BI Developer


  • Built scalable ingestion pipelines with Azure Data Factory to extract CRM data from Dynamics 365 and other business systems with data governance compliance.
  • Transformed large volumes of customer and sales data using optimized Spark jobs in Azure Databricks ensuring data quality and governance.
  • Stored and organized raw and curated datasets in Azure Data Lake for centralized access, secure storage, and regulatory compliance.
  • Developed Power BI dashboards to deliver real-time insights into customer journeys, sales funnels, and agent performance, aligned with business KPIs.
  • Aligned all visuals with business KPIs, including lead conversion rates, sales cycles, and customer retention metrics.
  • Collaborated with business analysts and marketing stakeholders to iterate on visualizations that drive executive decision-making based on governed data.
  • Enabled role-based access and row-level security in Power BI to safeguard sensitive customer and business data, ensuring strict data governance.
2021 Aug – 2021 Dec
Dubai Islamic Bank Analytics

Enterprise Banking Intelligence: CRM & FinOps Analytics for Dubai Islamic Bank

Role: Azure Data & Analytics Specialist


  • Integrated customer relationship management (CRM) and financial operations (FinOps) data using robust Azure Data Factory pipelines with strict data governance controls.
  • Created tailored Power BI dashboards for senior executives, tracking loan performance, credit risk, and profitability metrics with governed data accuracy.
  • Modeled complex financial data to support Islamic banking compliance and regulatory reporting (e.g., Sharia-compliant indicators) with full auditability.
  • Applied DAX to build calculated KPIs such as customer churn rate, asset growth, and revenue per customer segment while maintaining data security.
  • Implemented role-based access control and row-level security for sensitive financial and customer datasets to enforce compliance.
  • Stored and governed transactional and master data securely using Azure Data Lake and Cosmos DB, ensuring auditability and retention policies.
  • Collaborated with compliance officers and finance teams to ensure BI outputs adhered to internal audit and reporting standards.
2019 Dec – 2021 Aug
Johnson Stores Azure Platform

Johnson Stores – Business Intelligence Through Machine Learning & Reporting

Role: Azure Data Engineer & ML Analyst


  • Designed and maintained scalable data pipelines using Azure Data Factory to integrate data from diverse sources.
  • Leveraged Azure Databricks and Data Lake Storage for large-scale data transformation and efficient batch processing.
  • Delivered dynamic Power BI dashboards for real-time sales, inventory tracking, and customer behavior analytics.
  • Built and deployed machine learning models in Python using libraries like scikit-learn, XGBoost, and Pandas for demand forecasting and segmentation.
  • Implemented data governance, lineage tracking, and access controls to ensure quality, privacy, and compliance across the data lifecycle.
  • Collaborated with business analysts and stakeholders to align analytics with operational goals and KPIs.

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Certification Badge
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Certificate 1 Certificate 2 Certificate 3 Certificate 4 Certificate 5 Certificate 6 Certificate 7 Certificate 8 Certificate 9 Certificate 10 Certificate 11 Certificate 12 Certificate 13 Certificate 14

1
Bachelor in Computer Science
2
Master in Data Science

Bachelor in Computer Science

National University of Computer & Emerging Sciences - FAST CFD Campus

  • Final Year Project:

    During my Bachelor’s in Computer Science at FAST – National University of Computer & Emerging Sciences, I developed a mobile application for early-stage skin cancer detection as part of my Final Year Project. The app was built using Flutter, deploying real-time Convolutional Neural Networks (CNNs) for live detection using the phone’s camera. I handled model selection, dataset preprocessing, and TensorFlow Lite integration to ensure lightweight and responsive performance on mobile devices.

Location

Al Riyadh, Saudi Arabia