📞 +91 79974 57228
DP-700 certification track

Master Data Engineer
Azure · Fabric & Power BI

A 100-hour, two-program journey from SQL fundamentals to production-grade Azure and Microsoft Fabric pipelines — built by a 15-year IT veteran, taught with live sessions, real sprints, and two end-to-end projects.

💬 Talk To Expert See the curriculum
Trainer
Ram
IT experience
15+ years
Training experience
10+ years
Duration
100 hours
Live demo
Saturday, 10 AM
Call
+91 79974 57228
Ram Boyapati
Ram Boyapati
Lead Trainer – Azure, Microsoft Fabric & Power BI
Who should join

Four types of professionals transforming their careers

No matter where you're starting from, there's a clear path in.

01

IT Professionals (Legacy Tech)

  • Currently working in IT
  • Experience in Java, .NET, Salesforce, DBA, or Testing
02

Non-IT Professionals

  • Facing low salary growth
  • Roles being impacted by AI & automation
03

Career Gap Candidates

  • Just after graduation
  • Preparing for govt. exams or running a business
04

Career Break (0.5–1 year)

  • Returning after layoffs or family reasons
  • From an IT or Non-IT background
☁ Cloud Technologies
⇄ Data Pipelines
📈 Analytics & Insights
✦ AI-Powered Future
Career roadmap

The step-by-step journey to becoming an Azure Fabric Data Engineer

1

Program 1: Training

  • Azure Data Engineering
  • Microsoft Fabric Data Engineering
  • Power BI
2

Program 2: Placement Assistance

  • Hands-on tasks
  • Two end-to-end projects
  • Interview preparation
  • Mock interviews & resume prep
3

Certification (DP-700)

  • Microsoft-certified path
  • Guided exam preparation
4

Interview Opportunities

  • Real interview calls
  • Direct job opportunities
5

Work Support

  • Real-time project support
  • On-job assistance
Program structure

The course contains two programs

Program 1 — Data Engineering Training

60 hrs over 2 monthsMon–Fri, 1 hr/day

For beginners and professionals building Azure, Fabric, and Power BI skills, delivered as daily live sessions.

Live classes + recordings
Hands-on practice
Resume templates
DP-700 guidance
3 years LMS access

Program 2 — Real-Time Industry Experience

30 hrs over weekends9 structured sprints

Practical exposure to real-world scenarios for stronger applied skills, run like an actual delivery team.

Agile 10-sprint model
150+ real tasks
2 end-to-end projects
Interview prep
Mock interviews + resume prep
Curriculum map

Five modules. Two full service stacks.

1
Basic SQL
2
Basic Python
3
Azure Data Engineering
4
Microsoft Fabric Data Engineering
5
Microsoft Power BI

Azure Services

  • Storage Account
  • Azure SQL Database
  • Synapse Analytics
  • Azure Data Factory
  • Azure Databricks – PySpark
  • Azure DevOps Git CI/CD Pipelines

Microsoft Fabric & Power BI

  • OneLake
  • Lakehouse & Warehouse
  • Pipelines
  • Notebooks – PySpark
  • Data Flow Gen2
  • Power BI Reports & Dashboards
  • AI Agents
Full syllabus

Topic-by-topic breakdown

Every session mapped out — from your first storage account to a deployed Fabric project.

→Data Engineering demo roadmap
→How to create a subscription for Azure and Fabric
→How to create storage services / Storage Account
→Blob vs Data Lake Gen2
→Medallion architecture & advanced storage account features
→Install SQL Server & SQL Database in Azure & Synapse
→Data warehouse concepts
→Synapse Dedicated Pool DWH in Azure
→Introduction to Data Factory in Azure & Fabric
→Copy data: blob to blob & blob to Azure SQL DB
→Copy data blob to blob — copy behavior
→Copy multiple files into multiple / single tables
→Copy data from on-prem SQL to Blob, multiple tables into multiple files
→If file exists, copy — else send email
→If file exists, copy — else wait until file is placed, using Until
→What is incremental loading & how to implement it
→Data Flow transformations in Data Factory (Day 1)
→Data Flow transformations in Data Factory (Day 2)
→Scheduling triggers in Data Factory
→Introduction to Databricks
→Spark architecture
→SQL basics
→Python basics
→RDD, DataFrame & Dataset
→Types of transformations and actions
→String & aggregate transformations on DataFrames
→Joins & analytical functions
→How to read & write files from DBFS
→Connecting to Data Lake Gen2 & Azure SQL
→Azure Key Vault & parameterization in Databricks
→Delta Lake & Delta Live Tables
→SCD implementation in Delta Lake
→Unity Catalog in Databricks
→Workflows in Databricks
→Performance optimization
→What is Git repo
→Deployment of Data Factory, Databricks & Power BI reports
→Complete flow design in Azure & Fabric
→What is OneLake & Lakehouse medallion architecture
→How to create shortcuts
→SQL Database & Warehouse in Fabric
→Introduction to Data Factory in Fabric
→Copy data Lakehouse to Lakehouse & Lakehouse to Azure SQL DB
→Copy data Lakehouse to Lakehouse — copy behavior
→Copy multiple files into multiple / single tables
→Copy data from on-prem SQL to Lakehouse, multiple tables to multiple files
→If file exists, copy — else send email
→If file exists, copy — else wait until file is placed, using Until
→Incremental loading & implementation
→Scheduling Data Factory & data pipelines
→Transformations in Data Flow Gen2 (Day 1 & Day 2)
→Copy data from Lakehouse to Warehouse using Data Flow Gen2
→Introduction to Notebooks & Spark
→RDD, DataFrame & Dataset
→Transformations & actions, string/aggregate ops, joins & analytical functions
→Read & write files from Lakehouse
→Delta Lake & Delta Live Tables
→SCD implementation & performance optimization
→Scheduling notebooks using jobs & data pipelines
→Write data into warehouse using T-SQL in notebooks
→Introduction to Power BI & installing Power BI Desktop
→Semantic modeling in Fabric & Power BI
→Designing visualizations in Power BI
→Developing Data Agents in Fabric
→Deployment of the project
→Complete project flow design in Fabric
Capstone work

Two end-to-end projects

Real-world solutions, end-to-end implementation, business impact — one in Fabric, one in Azure.

1

Health Care Insurance in Fabric

Analytics for better decisions and improved outcomes
Total claims
48,540
Claim amount
₹125.6 Cr
Approved claims
36,425
Approval rate
75.1%
Data ingestion
Data Lake
Data processing
Data warehouse
Analytics & reports
2

Retail Sales in Azure

Drive growth with data-powered retail intelligence
Total sales
₹245.8 Cr
Total orders
1.2M
Avg. order value
₹2,045
Gross margin
28.6%
Data sources
Ingestion
Processing
Storage
Real outcomes

From different backgrounds to high-paying Data Engineer roles

B
Bhargavi
₹16 LPA→₹28 LPA
PLACED · TOP MNC
A
Anusha
₹5.5 LPA→₹9 LPA
PLACED
P
Pavan
₹22 LPAHigher growth potential
PLACED
N
Niharika
₹9 LPA→₹17 LPA
PLACED
Program overview

Everything the course includes, at a glance

100
Total hours
60
Hrs — Program 1
30
Hrs — Program 2
5
Modules
150+
Real-time tasks
9
Structured sprints
Get in touch

Contact information

Phone
+91 79974 57228
Website
eclasess.com
Address
Alluri Trade Center, KPHB Metro, Hyderabad
Call now: +91 79974 57228 → Join the Saturday 10 AM demo

Contact Us

Fill out the form below and our team will contact you shortly.