Fabric Full Stack Developer builds end-to-end data solutions using Microsoft Fabric, integrating data engineering, analytics, and AI in one platform. They work across all layers — from data pipelines to dashboards — delivering unified, scalable, and intelligent business solutions.
✅ Fabric Data Factory & Pipelines
✅ OneLake Lakehouse Integration
✅ Dataflows Gen2, Semantic Models
✅ Power BI & AI CoPilot Dashboards
✅ Eventstream & Real-Time Insights
✅ Fabric Notebooks (PySpark, SQL)
✅ Git & CI/CD for Fabric Projects
✅ DP 600, DP 700 Exam Guidance
✅ End-to-End Fabric Stack Project
✅ 1:1 Mentorship, Resume
✅ Module 1: SQL Server (MSSQL) & TSQL
✅ Module 2: Fabric Data Engineering
✅ Module 3: Fabric Data Analytics
✅ Module 4: Realtime Projects & Resume
✅ Module 5: DP-700, DP-600 Exams Guidance
Ch 1: SQL Database Job Roles
Ch 2: Database Intro & Installations
Ch 3: SQL Basics V1 (Commands)
Ch 4: SQL Basics V2 (Commands, Operators)
Ch 5: Data Types & Variables
Ch 6: Data Imports From Files
Ch 7: Sub Queries
Ch 8: Schemas & Batches
Ch 9: Constraints, Keys & RDBMS
Ch 10: Normal Forms & RDBMS
Ch 11: Joins & Queries
Ch 12: Views & RLS
Ch 13: Stored Procedures – 1
Ch 14: Stored Procedures – 2
Ch 15: User Defined Functions – 1
Ch 16: User Defined Functions – 2
Ch 17: Triggers & Automations
Ch 18: Group By Queries
Ch 19: Joins with Group By
Ch 20: Transactions & ACID
Ch 21: Indexes Basics, Tuning
Ch 22: CTEs & Tuning
Ch 23: Cursors & Temp Tables
Ch 24: SQL Server Architecture
Ch 25: Capstone Project (HealthCare Management System)
Week 1: Microsoft Fabric Fundamentals & OneLake
Learning Modules
Hands-on Labs
Learning Outcome
Week 2: Data Ingestion & Data Factory
Learning Modules
Hands-on Labs
Lab 1: Pipeline Development
Lab 2: Dataflows Gen2
Lab 3: Incremental Processing
Learning Outcome
Week 3: Spark & Notebook Engineering
Learning Modules
Labs
Advanced Labs
Learning Outcome
Week 4: Data Warehouse Engineering
Learning Modules
Labs
Learning Outcome
Week 5: Real-Time Analytics & Streaming
Learning Modules
Labs
Learning Outcome
Week 6: Enterprise Fabric – Security, Governance, DevOps & Monitoring
Learning Modules
Labs
Learning Outcome
Week 7: Real-Time Project
Project Activities
Enterprise Deployment
Ch 1: Power BI Intro, Installation
Ch 2: Report Design Concepts
Ch 3: Visual Interactions, PBIT
Ch 4: Grouping, Hierarchies
Ch 5: Slicer & Visual Sync
Ch 6: Hierarchies & Drill-Down
Ch 7: Filters & Drill Thru
Ch 8: Bookmarks, Buttons
Ch 9: SQL DB Access & Big Data
Ch 10: Power BI Visualizations
Ch 11: Power Query Introduction
Ch 12: Power Query: Table Transformations
Ch 13: Power Query: Column Transformations
Ch 14: Power Query: Text, Date Transformations
Ch 15: Power Query: Parameters, Expressions
Ch 16: Power BI Cloud & Fabric
Ch 17: Power BI Cloud Dashboards
Ch 18: Power BI Cloud Operations
Ch 19: Power BI Cloud Gateways
Ch 20: Power BI Cloud Apps
Ch 21: Power BI Report Server
Ch 22: Paginated Reports
Ch 23: DAX Concepts (Basics)
Ch 24: DAX Quick Measures
Ch 25: Data Modelling, DAX
Ch 26: DAX Joins, Variables
Ch 27: DAX Models & Calculations
Ch 28: DAX Time Intelligence
Ch 29: DAX – Row Level Security
Ch 30: Analytical Reports
Ch 31: PL 300 Exam Guidance
Realtime Project 2 (Health Care Platform) – For Your Resume
Project Objective
Design and implement a modern Healthcare Data Platform using Power BI Analytics and Reporting services
to process patient, hospital, clinical, and operational data for reporting, analytics, and decision-making.
Technologies Used
Learning Outcomes
After completing this project, you can confidently showcase experience in:
Career Guidance
DP-700 — Microsoft Fabric Data Engineer
Develop the skills to design, build, and manage modern data engineering solutions using
Microsoft Fabric. Gain practical experience with Lakehouse, Data Factory, Data Pipelines,
Spark, Data Warehouse, Real-Time Intelligence, and data orchestration.
DP-600 — Microsoft Fabric Analytics Engineer
Build expertise in enterprise analytics using Microsoft Fabric and Power BI. Learn to create
semantic models, optimize data models, work with DAX, build analytics solutions,
implement security, and deliver actionable business insights
A Fabric Fullstack Developer works on building end-to-end data and analytics solutions using the complete Microsoft Fabric ecosystem. The role involves designing, developing, and integrating Fabric Data Pipelines, Lakehouses, Warehouses, Power BI dashboards, and semantic models, ensuring that the solution is scalable, secure, and optimized. Fabric Fullstack professionals bridge the gap between data engineering, analytics, and business intelligence using a single, unified platform.
1️⃣ Design and implement Lakehouses and Data Warehouses using Fabric
2️⃣ Build data ingestion and transformation pipelines
3️⃣ Create semantic models for business reporting
4️⃣ Develop and publish dashboards and reports using Power BI in Fabric
5️⃣ Ensure data security, governance, and compliance across components
6️⃣ Collaborate with architects, analysts, and business users to deliver end-to-end analytics and more..!
The course is carefully curated with below module:
👉🏻Module 1: MSSQL & TSQL Queries
👉🏻Module 2: Fabric Data Engineer
👉🏻Module 3: Fabric Data Analyst
Freshers starting a career in fullstack data analytics
Power BI developers looking to master the entire Fabric stack
ETL/SQL developers expanding into end-to-end Fabric solutions
Data engineers transitioning to unified data platforms
Anyone interested in building modern data and BI solutions on Fabric
No prior coding experience is required. All concepts are taught from scratch
Option 1: LIVE Online Training (100% Interactive, step by step, assignments)
Option 2: Self Paced Videos (100% practical, step by step with concept wise assignments)
You may choose any one of these options, same curriculum!
I (Trainer) shall be available for doubts and clarifications, assignment check and review.
👉🏻 Every session is Practical, Step by Step with Concept wise FAQs !!
👉🏻 100% results with on-time practice. Daily Tasks for every session.
👉🏻 Concept wise tasks be submitted before next class for Job Waiters / Starters.
👉🏻 Concept wise tasks due for submission by Weekends for Working Professionals.
