Azure Data Engineer course in Pakistan
The complete path: SQL, Python, ADF, ADLS Gen2, Databricks, Synapse and Event Hubs. 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 Azure Data Engineer from Pakistan
This is the full career track. It starts with SQL and Python, then builds the Azure data platform piece by piece: storage, Azure Data Factory, Databricks, Synapse, streaming, security and DevOps. You finish with an end to end project that mirrors real client work, plus CV, LinkedIn and interview preparation. It is the same stack I have used for years building platforms at Algo.
Companies in Pakistan and abroad hire for roles like Azure Data Engineer, Data Engineer, ETL Developer and Cloud Data 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 for data engineering
- Joins, CTEs and window functions
- Data modelling and star schemas
- Stored procedures and MERGE
- Query tuning basics
- SQL interview practice
Weeks 4 to 6Python and PySpark foundations
- Python basics for data
- pandas for cleaning
- APIs and JSON
- Intro to Spark DataFrames
- Writing clean, testable code
Week 7Azure foundations
- Subscriptions and resource groups
- Microsoft Entra ID and RBAC
- Managed identities
- Azure Key Vault
- Cost management basics
Weeks 8 to 9ADLS Gen2 and lake design
- Hierarchical namespace
- Raw, curated and serving zones
- CSV, Parquet and Delta
- RBAC and ACLs
- Lifecycle policies
Weeks 10 to 12Azure Data Factory
- Linked services and datasets
- Copy activity and mapping data flows
- Parameters and metadata driven pipelines
- Triggers and self-hosted integration runtime
- Monitoring and alerts
Weeks 13 to 15Azure Databricks
- PySpark transformations
- Delta Lake and MERGE
- Medallion architecture
- Unity Catalog
- Running notebooks from ADF
Weeks 16 to 17Azure Synapse Analytics
- Serverless SQL pools
- External tables over the lake
- Dedicated SQL pool concepts
- Synapse pipelines
- Serving data to Power BI
Week 18Streaming
- Azure Event Hubs
- Stream processing options
- Structured Streaming in Databricks
- Windows and late data
- Real-time dashboards
Week 19Warehousing patterns
- Incremental loads and watermarks
- Slowly changing dimensions
- Data quality checks
- Snowflake on Azure overview
- Choosing the right service
Week 20Monitoring and governance
- Azure Monitor and Log Analytics
- Alerts for failures and long runs
- Microsoft Purview overview
- Data security basics
- Runbooks
Week 21DevOps for data
- Git branching for data teams
- ADF Git integration and ARM templates
- Azure DevOps or GitHub Actions
- Dev, test and prod
- Release checklists
Weeks 22 to 23Capstone project
- End to end Azure data platform
- Architecture diagram and documentation
- Presenting your project
- Code review
Week 24Career and interviews
- CV and LinkedIn review
- Azure data engineering interview questions
- System design for data pipelines
- Mock interviews with feedback
Tools you will use
Who it is for
- Beginners who want a complete path to a data engineering job
- IT, support and software people switching careers
- SQL and BI developers moving to the cloud
- Graduates aiming for remote Azure roles
What you need
- No prior experience needed, we start with SQL
- A laptop and stable internet
- An Azure free account, I guide the setup
What you will be able to do
Strong SQL and Python
The two languages every Azure data engineering interview tests.
Design a data lake
ADLS Gen2 layout, file formats, Delta and secure access.
Build ADF pipelines
Metadata driven ingestion, parameters, triggers and monitoring.
Process data in Databricks
PySpark, Delta Lake and the medallion architecture.
Serve and stream data
Synapse serverless SQL, Event Hubs and real-time processing.
Ship like a team
Key Vault, managed identities, Git, CI/CD and monitoring.
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.
Why 6 months?
Because it covers everything a junior to mid Azure data engineer needs, starting from zero. If you already know SQL or Python, we skip ahead and it takes less time.
Which certification should I take?
Microsoft retired DP-203 in 2025. I usually suggest DP-900 for basics and DP-700 or the Databricks Data Engineer Associate later, depending on the jobs you target.
Will this really get me a job?
The job placement guarantee applies here too: as long as you attend sessions and complete assignments and projects, I keep helping you with CV, LinkedIn, mock interviews and applications until you are hired.
Free practice while you decide
Other courses in Pakistan
Start your Azure Data Engineer journey
Book a free 20 minute call. You get a clear plan for your level and your schedule in Pakistan time.