Microsoft Azure Fabric Data Engineering – Live Career Webinar
This live webinar on Data Engineering Career Roadmap is designed to give clear direction to aspirants and professionals who want to build a successful career as a Cloud Data Engineer. In this session, we will clearly explain the difference between A
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Microsoft Certified Data Engineer with 15+ years of IT experience and 10+ years of training experience, specializing in Azure Data Engineering, Microsoft Fabric, and Power BI. Author of three technical books focused on real-time projects and interview-oriented preparation, with strong hands-on industry expertise and proven mentoring excellence
Your Complete Path to a Successful Data Engineering Career
Program-1 Training
Live instructor-led training with Monday–Friday sessions (1 hour daily), focused on Azure Data Engineering, Microsoft Fabric, and Power BI topics.
Program-2 Real Projects
Hands-on, real-time project–driven program built on Agile methodology, real-world scenarios with 200+ practical tasks executed across 10 sprints.
Interview Preparation
Complete focus on interview preparation with mock interviews, real-world scenario discussions, and professional resume preparation to ensure full interview readiness.
Dp-700 Certification
DP-700 (Microsoft Fabric Data Engineer Associate) certification guidance with structured syllabus coverage, exam-oriented preparation, and practical alignment to real-world scenarios.
Our Programs?
Program 1: Data Engineering – Regular Traditional Training
Duration: 60 Hours
Mode: Live Online Sessions
Schedule: Mon to Fri – 1 Hour
Program Includes:
🎥 Live Instructor-Led Sessions
⏺️ Daily Class Recordings (3 Years Access)
📝 Daily Class Notes
📄 Sample Resumes
💬 Interview Questions & Answers
🛠️ End-to-End Project
Program 2: Real-Time Program – Placement Assistance
Duration: 30 Hours
Mode: Live Online Sessions
Schedule: Sat & Sun – 2 Hours
Program Includes:
🔁 Agile Methodology
🚀 10 Sprints – 200+ Hands-On Tasks
📆 Weekly Sprint Execution
🏗️ 2 End-to-End Real-Time Projects
💬 Interview Questions & Answers
📄 Resume Preparation
🎯 Mock Interviews
Topics to be Covered:
Step 1: Azure Data Engineering – Basic to Advanced
☁️ Azure Storage Account (Blob Storage & Data Lake Gen2)
🗄️ Azure SQL Database
📊 Azure Synapse Analytics
🔄 Azure Data Factory
⚡ Azure Databricks (PySpark)
🔁 CI/CD Pipelines – Git-Based Deployment
Step 2: Microsoft Fabric – Modern Data Platform
🏞️ Lakehouse
🗄️ SQL Database
🏢 Data Warehouse
🔄 Data Pipelines
📓 Notebooks (PySpark)
🔁 Dataflow Gen2
Step 3: Power BI – Data Visualization & Insights
📊 Power BI Desktop
🧠 Semantic Modeling
📈 Data Visualizations
🔐 Security & Role-Based Access
📑 Reports & Dashboards
🧮 DAX
