Microsoft Fabric Analytics Engineer

Rahman

Rahman is an experienced Microsoft Fabric Corporate Trainer and Data Analytics Consultant with over 10 years of expertise in designing, implementing, and delivering enterprise-scale data analytics and business intelligence solutions. He has extensive experience helping organizations modernize their data platforms using Microsoft Fabric, enabling unified data engineering, real-time analytics, business intelligence, and AI-driven insights.

Rahman has successfully trained data engineers, analytics engineers, BI developers, database professionals, cloud architects, and IT teams across a wide range of industries, including banking, healthcare, retail, manufacturing, telecommunications, logistics, education, and government. His training approach emphasizes practical, hands-on learning through live demonstrations, guided labs, real-world case studies, and enterprise implementation scenarios.

With strong technical expertise in Microsoft Fabric, Power BI, OneLake, Data Factory, Lakehouse, Data Warehouse, Apache Spark, SQL, and Azure Data Services, Rahman equips learners with the skills required to design scalable, secure, and high-performance analytics solutions. His courses are aligned with Microsoft best practices and the objectives of the Microsoft DP-600 certification.

Core Technical Skills Microsoft Fabric OneLake Microsoft Fabric Data Factory Dataflows Gen2 Lakehouse Architecture Data Warehouse Real-Time Analytics Eventstreams Apache Spark Spark SQL PySpark Microsoft Power BI DAX Semantic Models Microsoft SQL Server Azure SQL Database Azure Data Lake Storage Azure Synapse Analytics Microsoft Azure Microsoft Purview Microsoft Entra ID Data Governance Data Modeling ETL and ELT Development REST APIs Git Integration Deployment Pipelines Performance Optimization Professional Experience Over 10 years of experience in enterprise data engineering and analytics solutions. Designed and implemented modern analytics platforms using Microsoft Fabric for enterprise customers. Developed scalable Lakehouse and Data Warehouse architectures for large-volume business data. Built end-to-end ETL and ELT pipelines using Microsoft Fabric Data Factory and Dataflows Gen2. Created enterprise reporting solutions with Power BI dashboards and semantic models. Implemented Real-Time Analytics solutions using Eventstreams and KQL databases. Developed Spark notebooks for large-scale data transformation and processing. Integrated Microsoft Fabric with Azure services, SQL Server, SharePoint, and other enterprise data sources. Implemented governance, security, monitoring, and performance optimization for enterprise analytics environments. Assisted organizations in migrating legacy reporting and data warehouse platforms to Microsoft Fabric. Training Expertise

Rahman has delivered instructor-led online and classroom training on:

Microsoft Fabric Analytics Engineer (DP-600) Microsoft Fabric Fundamentals Microsoft Fabric Data Engineering Microsoft Fabric Data Warehouse Microsoft Fabric Lakehouse Microsoft Fabric Real-Time Analytics Microsoft Fabric Data Factory Microsoft Power BI Advanced Power BI and DAX SQL for Analytics Apache Spark and PySpark Azure Data Analytics Data Modeling and Business Intelligence Enterprise Analytics Architecture Industry Experience Banking and Financial Services Healthcare Insurance Manufacturing Retail and E-Commerce Telecommunications Logistics and Supply Chain Energy and Utilities Education Government Training Methodology

Rahman follows a practical and industry-focused training methodology that combines theory with extensive hands-on experience. His sessions include:

Instructor-led live demonstrations Hands-on labs using Microsoft Fabric Real-world enterprise implementation scenarios Case study discussions End-to-end analytics projects Interactive question-and-answer sessions Best practices for architecture, governance, and security Performance tuning techniques Certification-focused guidance for DP-600 Interview preparation and resume guidance Key Highlights 10+ years of experience in data engineering, analytics, and cloud technologies Expert in Microsoft Fabric and enterprise analytics solutions Strong knowledge of Lakehouse, Data Warehouse, OneLake, and Data Factory Extensive experience with Apache Spark, SQL, and Power BI Skilled in designing scalable analytics architectures and modern data platforms Hands-on experience integrating Microsoft Fabric with Azure and enterprise data sources Delivered corporate training programs for global organizations across multiple industries Focus on practical learning through labs, case studies, and real-world implementation Experienced in analytics governance, security, and performance optimization Proven ability to prepare professionals for Microsoft DP-600 certification and enterprise analytics roles