Azure Databricks Engineer course in Pakistan
PySpark, Delta Lake, medallion architecture and Unity Catalog on Azure. 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 Databricks Engineer from Pakistan
Databricks is where large scale data processing happens on Azure. This course takes you from Spark basics to production lakehouse pipelines: PySpark transformations, Delta Lake, bronze, silver and gold layers, Auto Loader, Unity Catalog, Workflows and performance tuning. Everything is built on Azure with ADLS Gen2, the same setup I use at work.
Companies in Pakistan and abroad hire for roles like Databricks Engineer, Data Engineer, Big Data Engineer and Lakehouse 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
Week 1Spark and Databricks basics
- The lakehouse idea
- Workspace, compute and notebooks
- Spark architecture
- Lazy evaluation and actions
- Volumes and file access
Weeks 2 to 3PySpark DataFrames
- Reading CSV, JSON and Parquet
- select, filter and withColumn
- Joins and aggregations
- Window functions
- Built-in functions vs UDFs
Week 4Spark SQL
- Temporary views
- SQL cells in notebooks
- CTEs and complex queries
- Mixing SQL and Python
- Parameters and widgets
Week 5Delta Lake
- ACID transactions
- MERGE for upserts
- Time travel
- OPTIMIZE, liquid clustering and VACUUM
- Schema enforcement and evolution
Week 6Medallion architecture
- Bronze, silver and gold design
- Auto Loader
- Incremental processing
- Structured Streaming basics
- Late and bad data
Week 7Unity Catalog
- Metastore, catalogs and schemas
- Access connector and managed identity
- External locations on ADLS Gen2
- Grants and permissions
- Lineage
Week 8Orchestration
- Databricks Workflows and jobs
- Task dependencies and parameters
- Calling Databricks from Azure Data Factory
- Retries and alerts
- Job clusters vs all-purpose compute
Week 9Declarative pipelines and data quality
- Lakeflow Declarative Pipelines (DLT)
- Expectations for data quality
- Streaming tables and materialized views
- Quarantine patterns
- Monitoring pipeline runs
Week 10Performance and cost
- Reading the Spark UI
- Partitions and shuffles
- Broadcast joins and caching
- Adaptive query execution
- Cluster sizing and cost
Week 11CI/CD
- Git folders
- Databricks Asset Bundles
- Dev, test and prod environments
- Unit testing PySpark
- Code review habits
Week 12Capstone and certification prep
- End to end lakehouse project
- Databricks Data Engineer Associate study plan
- Spark interview questions
- Mock interview with feedback
Tools you will use
Who it is for
- Data engineers who want strong Spark and lakehouse skills
- SQL and Python developers moving into big data
- ETL developers modernising to Azure
- Anyone preparing for the Databricks Data Engineer Associate
What you need
- SQL basics
- Python basics (variables, functions, lists)
- An Azure free account or company sandbox, I guide the setup
What you will be able to do
Think in Spark
Drivers, executors, partitions, lazy evaluation and how jobs really run.
Transform data with PySpark
Joins, aggregations, window functions and clean reusable code.
Use Delta Lake properly
MERGE, time travel, OPTIMIZE, VACUUM and schema evolution.
Build a medallion lakehouse
Bronze, silver and gold layers with incremental loads.
Govern with Unity Catalog
Catalogs, external locations, permissions and lineage.
Tune and deploy
Spark UI, shuffles, broadcast joins, Workflows and CI/CD.
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.
Will I need an Azure subscription?
Yes, a free or pay as you go Azure account is enough. I show you how to keep costs very low with small clusters, auto termination and job compute.
Is PySpark hard if I only know basic Python?
No. We build PySpark skills step by step, and most of it reads like SQL. Basic Python is enough to start.
Is Databricks still used if a company has Fabric or Snowflake?
Yes. Many teams run Databricks next to Snowflake or Fabric. I work with Databricks and Snowflake together every day.
Free practice while you decide
Other courses in Pakistan
Start your Azure Databricks Engineer journey
Book a free 20 minute call. You get a clear plan for your level and your schedule in Pakistan time.