01
End-to-End Fabric Data Pipeline
Build a complete pipeline: Data Source → Data Factory → OneLake → Lakehouse → PySpark → Delta Lake → Power BI.
FabricData FactoryOneLakePower BI
Microsoft Fabric Data Engineering Course
Build job-ready Microsoft Fabric Data Engineering skills through a structured 2-month program covering Python, SQL, PySpark, Apache Spark, Microsoft Fabric, OneLake, Lakehouse, Data Factory, Pipelines, Dataflow Gen2, Delta Lake, Warehouse, data governance, and Power BI integration. Gain hands-on experience building modern data pipelines, ingesting and transforming data, implementing Lakehouse and Medallion architectures, orchestrating workflows, and developing an industry-oriented capstone project using Microsoft Fabric.
Duration
2 Months
Case Studies
20 +
Training
Online/Offline
Let's Get You Enrolled
Trusted by learners and hiring partners across the industry
Our growing community of learners and industry connections reflects our commitment to practical, career-focused training. With 15K+ learners and 115+ hiring partners, iBridge360 helps bridge the gap between technical learning and real-world career opportunities.
- 15K+Learners
- 115+Hiring Partners
Microsoft Fabric Data Engineering Course Curriculum
Learn Microsoft Fabric Data Engineering through a structured curriculum covering Python, SQL, Apache Spark, PySpark, OneLake, Lakehouse, Data Factory, Dataflow Gen2, Pipelines, Delta Lake, Warehouse, data governance, orchestration, and real-world data engineering.
Data Engineering Fundamentals
Build a foundation in modern data engineering — ETL/ELT, ingestion, pipelines, and Lakehouse concepts.
Topics Covered- Data Engineering Fundamentals
- Modern Data Engineering Concepts
- ETL & ELT
- Data Ingestion
- Data Transformation
- Data Pipelines
- Structured & Unstructured Data
- Batch Data Processing
- Data Integration
- Data Architecture Fundamentals
- Modern Lakehouse Concepts
Data Engineering Fundamentals
Build a foundation in modern data engineering — ETL/ELT, ingestion, pipelines, and Lakehouse concepts.
Topics Covered
- Data Engineering Fundamentals
- Modern Data Engineering Concepts
- ETL & ELT
- Data Ingestion
- Data Transformation
- Data Pipelines
- Structured & Unstructured Data
- Batch Data Processing
- Data Integration
- Data Architecture Fundamentals
- Modern Lakehouse Concepts
Why Choose iBridge360?
We go beyond learning – we build your career.
- Industry-Aligned Curriculum
Our curriculum is designed in collaboration with industry experts to match current trends and future job requirements.
- Practical, Hands-On Learning
Learn by doing! Get hands-on experience with tools, technologies, and real-time scenarios.
- Real-World Application Development
Work on real-world projects that help you apply concepts and build job-ready applications.
- Experienced Technical Mentors
Learn from seasoned professionals with industry experience and a passion for mentoring.
- Project-Based Learning
Build strong portfolios with industry-grade projects that showcase your skills and problem-solving ability.
- LMS Access
Get 24/7 access to our advanced LMS platform with recorded sessions, resources, quizzes, and more.
- 100% Placement Assistance
We support you at every step with resume building, mock interviews, and job placements.
- Online & Offline Learning Options
Choose the mode that suits you best – learn online from anywhere or join offline classes near you.
Earn Your Microsoft Fabric Data Engineering Certificate
Receive an iBridge360 course completion certificate that validates your practical learning across Microsoft Fabric, OneLake, Lakehouse, PySpark, SQL, Data Factory, Dataflow Gen2, Delta Lake, data pipelines, and data engineering.
Sample certificate
Hands-On Learning
Build Real-World Microsoft Fabric Data Engineering Projects
A visual look at the pipelines you will build — project, technologies, data flow, what you ship, and the outcome.
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Medallion Architecture
Implement Bronze → Silver → Gold with ingestion, transformation, validation, and business-ready layers.
LakehouseDelta LakePySpark
03
Dataflow Gen2 Transformation Pipeline
Build a low-code workflow: Data Source → Dataflow Gen2 → Lakehouse using Power Query.
Dataflow Gen2Power QueryLakehouse
04
PySpark Lakehouse Processing
Use Spark notebooks and PySpark to clean, transform, aggregate, and process large datasets.
PySparkSpark NotebooksLakehouse
05
Fabric Data Warehouse & Power BI
Build a structured analytics solution using Fabric Warehouse, SQL, semantic models, and Power BI.
WarehouseSQLPower BI
06
Industry-Level Capstone Project
Deliver a complete Fabric Data Engineering solution across OneLake, Lakehouse, PySpark, Data Factory, Delta Lake, Dataflow Gen2, SQL, and Power BI.
Microsoft FabricOneLakeDelta LakePower BI
Social Proof
Trusted by Real Learners
Honest feedback from professionals who completed our programs — structured training, mentor support, and career outcomes that speak for themselves.
- 500+Learners Trained
- 4.9/5Average Rating
- 100%Real Learner Stories
The Data Engineering program prepared me for real industry work. With strong fundamentals and placement support from iBridge360, I am now working as a GIS Analyst at Deduce Technologies.
iBridge360’s Data Engineering batch helped me build practical skills and confidence. I am proud to be placed as a Data Engineer at Aroha Technologies.
Joining iBridge360 was one of the best decisions for my career. The trainers explain concepts in a simple and practical way, making it easy to understand even complex topics.
iBridge360 provides much more than just technical training. Every topic is taught with practical use cases, and the support team is responsive throughout the program.
The Data Engineering program at iBridge360 gave me the skills and confidence I needed. With strong mentorship and placement support, I am now working as a Data Analyst at Richrise Global.
Career Opportunities After a Microsoft Fabric Data Engineering Course
A strong foundation in Microsoft Fabric, OneLake, Lakehouse, PySpark, SQL, Data Factory, Dataflow Gen2, Delta Lake, data pipelines, and Power BI integration can help learners prepare for opportunities across Data Engineering and modern analytics.
Microsoft Fabric Data EngineerData EngineerJunior Data EngineerFabric Data Engineering DeveloperCloud Data EngineerData Pipeline EngineerETL DeveloperBig Data EngineerPySpark DeveloperAnalytics Engineer
FAQ
Frequently Asked Questions — Microsoft Fabric Data Engineering
Everything you need to know about the Microsoft Fabric Data Engineering course — curriculum, learning experience, placements, and enrollment.
A Microsoft Fabric Data Engineering course teaches you how to build modern data engineering solutions using Microsoft Fabric, OneLake, Lakehouse, PySpark, SQL, Data Factory, Dataflow Gen2, Delta Lake, and data pipelines.
Microsoft Fabric is an integrated analytics platform that brings together capabilities for data engineering, data integration, analytics, business intelligence, real-time intelligence, and other data workloads within a unified environment.
OneLake is the unified logical data lake for Microsoft Fabric. It provides a central storage foundation for Fabric workloads and helps reduce data silos across an organization.
A Fabric Lakehouse combines data lake flexibility with analytics capabilities. It supports structured and unstructured data and provides access through Apache Spark and SQL.
The course is suitable for students, freshers, graduates, working professionals, aspiring data engineers, SQL professionals, Python developers, and professionals looking to build modern cloud data engineering skills.
No. The program starts with Data Engineering fundamentals, Python, SQL, and Spark before progressing into Microsoft Fabric, OneLake, Lakehouse, Data Factory, Delta Lake, and advanced data engineering concepts.
Build Your Microsoft Fabric Data Engineering Career
Build practical Microsoft Fabric, OneLake, Lakehouse, PySpark, SQL, Data Factory, Delta Lake, and data pipeline skills through hands-on training, real-world projects, instructor-led learning, and career support from iBridge360.
Speak with an iBridge360 course advisor to get details about the curriculum, upcoming batches, fees, payment options, and enrollment.