Microsoft Fabric Data Engineer course in Pakistan
OneLake, lakehouses, pipelines, Spark, warehouse, real-time and Power BI in one platform. Learn live, one-to-one, with Hikmat Ullah, a Senior Data Engineer, from anywhere in Pakistan: Lahore, Karachi, Islamabad, Peshawar or your home town. Pay in rupees by bank transfer or JazzCash.
Why learn Microsoft Fabric Data Engineer from Pakistan
Microsoft Fabric puts data engineering, warehousing, real-time analytics and Power BI into one platform, and companies are adopting it fast. I am a certified Fabric Data Engineer Associate. This track starts with SQL and Python, then covers every Fabric workload a data engineer touches, and finishes with DP-700 exam preparation and interview practice.
Companies in Pakistan and abroad hire for roles like Fabric Data Engineer, Data Engineer, Analytics Engineer and BI and Data Platform Engineer. Many of these jobs are remote, so what matters is real skill you can show in an interview, not where you live. That is what this course is built for: live practice on real business data, projects for your portfolio, and interview preparation.
What you will learn
Weeks 1 to 3SQL foundations
- T-SQL queries, joins and CTEs
- Window functions
- Data modelling and star schemas
- Stored procedures
- SQL interview practice
Weeks 4 to 5Python and PySpark basics
- Python for data
- Spark DataFrames
- Reading and writing files
- Transformations and joins
- Notebook habits
Week 6Fabric fundamentals
- Capacities and F SKUs
- Workspaces and items
- OneLake concepts
- Licensing and trial
- Admin portal basics
Weeks 7 to 8Lakehouse
- Files vs tables
- Delta tables and V-Order
- Shortcuts to ADLS and other sources
- SQL analytics endpoint
- Table maintenance
Weeks 9 to 10Data Factory in Fabric
- Data pipelines
- Dataflow Gen2 and Power Query
- Copy job
- Parameters and variables
- Schedules and failure alerts
Weeks 11 to 12Spark notebooks
- PySpark and Spark SQL in Fabric
- Environments and libraries
- Medallion lakehouse design
- Incremental loads with MERGE
- Notebook orchestration
Weeks 13 to 14Data Warehouse
- Fabric warehouse with T-SQL
- COPY INTO and ingestion
- Cross database queries
- Stored procedures and views
- Warehouse vs lakehouse
Week 15Real-Time Intelligence
- Eventstreams
- Eventhouse and KQL databases
- KQL querysets
- Real-time dashboards
- Activator alerts
Weeks 16 to 17Power BI in Fabric
- Semantic models
- Direct Lake mode
- DAX essentials
- Reports and apps
- Refresh and performance
Week 18Security and governance
- Workspace roles and item permissions
- OneLake security
- Row and column level security
- Sensitivity labels
- Microsoft Purview in Fabric
Week 19Monitoring and optimisation
- Monitoring hub
- Capacity metrics app
- Spark performance tips
- OPTIMIZE and VACUUM
- Cost awareness
Week 20CI/CD
- Git integration
- Deployment pipelines
- Dev, test and prod workspaces
- Parameterising for environments
- Team workflow
Weeks 21 to 23Capstone project
- End to end Fabric solution
- Lakehouse, warehouse and report
- Documentation and demo
- Code review
Week 24DP-700 and interviews
- DP-700 study plan and practice questions
- Fabric interview questions
- CV and LinkedIn review
- Mock interviews with feedback
Tools you will use
Who it is for
- Beginners who want a modern data engineering career path
- Power BI developers moving into data engineering
- Azure and SQL professionals adopting Fabric
- Anyone preparing for DP-700
What you need
- No prior experience needed, we start with SQL
- A laptop and stable internet
- A Fabric trial or company capacity, I guide the setup
What you will be able to do
Understand Fabric end to end
Capacities, workspaces, OneLake and how all the items fit together.
Build lakehouses
Delta tables, shortcuts and the SQL analytics endpoint.
Orchestrate data movement
Pipelines, Dataflow Gen2 and copy jobs with parameters and schedules.
Transform with Spark and T-SQL
Notebooks for the lakehouse and T-SQL for the warehouse.
Handle real-time data
Eventstreams, Eventhouse and KQL queries.
Deliver to Power BI
Semantic models, Direct Lake and secure, governed reports.
Questions from students in Pakistan
Can I pay in Pakistani rupees?
Yes. Pay by bank transfer or JazzCash on our payment page and upload the screenshot. The rupee amount is shown at today's rate, and you get a receipt by email.
What time are the classes?
Classes are live, one-to-one, and planned around you: evenings and weekends in Pakistan time work well for most students who study or work. We fix your schedule on the free call.
Do I need my own laptop?
Yes, any Windows, macOS or Linux laptop with stable internet is enough. Cloud tools use free accounts, and I help you set them up.
Is there job help after the course?
Yes. We work on your CV, LinkedIn and interviews, and you can practise on the Data Job Simulator and the AI mock interview. Help continues until you are hired.
Can I try before I pay?
Book a free 20 minute call. We talk about your goal, your level and your schedule, and you get an honest plan, even if it means you need less.
Do I need a paid Fabric capacity?
Not to start. Microsoft offers a Fabric trial, and I show you how to make the most of it. Some students also use a capacity from their company.
Should I choose Fabric or the Azure Data Engineer track?
Both lead to data engineering jobs. Fabric suits companies already on Power BI and Microsoft 365. Azure Data Engineer covers ADF, Databricks and Synapse. On a free call I help you pick based on the jobs you want.
Does this prepare me for DP-700?
Yes. DP-700 is the Fabric Data Engineer Associate exam, which I have passed, and the last part of the course is dedicated to it.
Free practice while you decide
Other courses in Pakistan
Start your Microsoft Fabric Data Engineer journey
Book a free 20 minute call. You get a clear plan for your level and your schedule in Pakistan time.