Built Around Four Capstone Pipelines
You do not just learn services. You build and deploy four pipelines — batch, streaming, warehouse, and reporting — that become the portfolio you present to interviewers.
LIVE, TRAINER-LED LEARNING
Azure Data Engineer Training in Bangalore
Bangalore's data teams are migrating from on-premises warehouses to cloud pipelines faster than they can hire engineers to build them. This Azure Data Engineer course exists to close that gap: 60 hours of live instruction in Data Factory, Databricks, Spark, Snowflake, and Power BI, built around the pipelines those teams actually run.
60 HoursAdvancedOnline & ClassroomEnglishCompletion certificate
- Design and build end-to-end batch pipelines with Azure Data Factory, Data Lake Storage Gen2, and Data Flow.
- Write and optimize advanced SQL using CTEs, window functions, stored procedures, and query tuning.
- Build streaming pipelines with Kafka, Spark Structured Streaming, and Delta Lake.
BUILD YOUR FOUNDATIONS
Azure Data Engineer Training in Bangalore: Where Cloud Data Careers Actually Start
Walk into any Bangalore office park and you will find the same problem on every floor: the data team is understaffed. Companies have moved their warehouses to Azure or are mid-migration, and they need engineers who can turn raw source-system data into reliable, queryable tables that downstream analysts and ML engineers depend on. That role — Data Engineer — is one of the hardest hires in Bangalore right now.
This is not a data analyst course with a new name. It is a build-it course. The deliverable you leave with is not a certificate; it is a portfolio of working pipelines that ingest, transform, and serve data across Azure Data Factory, Databricks, Snowflake, and Power BI.
What the Course Assumes and What it Delivers
The course assumes you can write basic Python and understand basic SQL. The first two modules raise that foundation to a professional level: Python object-oriented programming, advanced SQL with window functions and stored procedures, and Linux shell scripting for automation. Every module after that is a build, not a lecture.
By the end of the course, you will have implemented the same kind of pipelines real Bangalore data teams run in production:
- Batch pipelines that ingest from source systems into Data Lake Storage Gen2 and transform them using Data Flow.
- Streaming pipelines that consume Kafka events and process them with Spark Structured Streaming into Delta Lake.
- Warehouse pipelines that load data into Snowflake using Snowpipe, track change with streams, and schedule incremental processing with tasks.
- Reporting layers that surface the data in Power BI with proper data models, DAX measures, and row-level security.
The Modern Data Stack — Not Just Azure
One thing separates this course from most Azure-only programs: it covers the full modern data stack that Bangalore employers actually use. You will work with Azure Data Factory and Databricks, but you will also work with Snowflake, Microsoft Fabric, and Apache Kafka. That matters because most mid-size and enterprise data teams now use a hybrid stack, not a single vendor.
What you’ll learn
- Design and build end-to-end batch pipelines with Azure Data Factory, Data Lake Storage Gen2, and Data Flow.
- Write and optimize advanced SQL using CTEs, window functions, stored procedures, and query tuning.
- Build streaming pipelines with Kafka, Spark Structured Streaming, and Delta Lake.
- Implement full data warehouses in Snowflake with Streams, Tasks, and Snowpipe.
- Design and deploy Databricks notebooks using Delta Lake and Unity Catalog.
- Build and publish Power BI reports with DAX measures and row-level security.
- Automate pipeline deployment with Git, Azure Repos, and Azure Pipelines (CI/CD).
- Apply prompt engineering, GitHub Copilot, and AI-assisted techniques to data engineering tasks.
Before you start
- Working knowledge of Python basics (variables, functions, loops).
- Working knowledge of SQL basics (SELECT, WHERE, JOIN).
- Comfort using a command-line interface.
- Access to a laptop and an Azure subscription for lab work.
- No prior experience with Data Factory, Databricks, or Snowflake required.
Upcoming online & classroom batches
New batch dates are being confirmed. Request a demo to discuss your availability.
Can’t find a batch that works for you?
Tools Covered
Python
Apache Spark and PySpark
Azure Data Factory
Azure Data Lake Storage Gen2
Azure Databricks
Power BI
Git
Azure DevOps
GitHub Copilot
Apache Kafka
Microsoft Fabric
Snowflake
Who should take Azure Data Engineer Course?
Data Engineering Roles This Course Prepares You For
These are the roles most Bangalore data engineering professionals step into after building the pipeline portfolio this course delivers. Salary ranges are drawn from Bangalore market data and represent typical entry to mid bands.
Designations
Min
Average
Max
Amazon
HP
ORACLE
TATA
TCS
Tech Mahindra
ZOHO
Hiring Companies
Min
Average
Max
- Amazon
Deloitte
Google- HP
IBM
Infosys
Microsoft
accenture
Hiring Companies
Min
Average
Max
- Amazon
- Google
- Deloitte
- Infosys
- IBM
- HP
- Microsoft
- Tech Mahindra
- ZOHO
- accenture
capgemini
Hiring Companies
Min
Average
Max
- accenture
WELLS FARGO- Google
- Microsoft
- Amazon
- Deloitte
Hiring Companies
Min
Average
Max
- Amazon
- Google
- Deloitte
- HP
- IBM
- Microsoft
- WELLS FARGO
- ZOHO
- capgemini
- accenture
Hiring Companies
What’s included?
Modern Stack — Not Just Azure
The course covers Azure Data Factory and Databricks, but also Snowflake, Microsoft Fabric, and Kafka. That reflects the hybrid data stacks most Bangalore employers now run.
Production-Grade Advanced SQL
Window functions, CTEs, stored procedures, query optimization, and performance tuning are covered at the depth real data engineers need, not at the level of a beginner SQL course.
Streaming and Batch — Both Covered
Batch pipelines in Data Factory, streaming pipelines with Kafka and Spark Structured Streaming. Both skills are in demand, and both are in the syllabus.
AI-Assisted Data Engineering
Module 14 teaches prompt engineering, GitHub Copilot for pipeline development, AI-assisted SQL and Python, LLM fundamentals, and RAG basics. This is where the role is going.
45-Minute Live Sessions, 5-6 Learners per Batch
Every session is live. Every learner shares a screen with the trainer during labs. Errors get fixed in class, not in the next session.
YOUR LEARNING PATH
Course curriculum
01Programming with Python10 topics
- Python FundamentalsLive Class
- Data Types & VariablesLive Class
- Operators & Control StatementsLive Class
- Functions & ModulesLive Class
- File HandlingLive Class
- Exception HandlingLive Class
- OOP ConceptsLive Class
- Regular ExpressionsLive Class
- CollectionsLive Class
- Working with JSON & XMLLive Class
02Advanced SQL11 topics
- SQL BasicsLive Class
- JoinsLive Class
- Sub QueriesLive Class
- CTELive Class
- Window FunctionsLive Class
- Stored ProceduresLive Class
- FunctionsLive Class
- ViewsLive Class
- IndexesLive Class
- Query OptimizationLive Class
- Performance TuningLive Class
03Linux & Shell Scripting7 topics
- Linux CommandsLive Class
- File ManagementLive Class
- PermissionsLive Class
- Shell ScriptingLive Class
- Cron JobsLive Class
- Process ManagementLive Class
- Automation ScriptsLive Class
Need the complete curriculum?
PUT IT INTO PRACTICE
Projects you’ll work on
End-to-End Batch Pipeline
Build an Azure Data Factory pipeline that ingests from a source system into Data Lake Storage Gen2, transforms it with Data Flow, and loads it into a target store. Deploy and monitor it.
Streaming Pipeline with Kafka and Spark
Set up a Kafka topic, produce event data, consume it via PySpark Structured Streaming in Databricks, and write processed output to Delta Lake.
Snowflake Data Warehouse with Streams and Tasks
Create databases, schemas, and warehouses in Snowflake. Load data via Snowpipe, track changes with Streams, and schedule incremental processing with Tasks.
Power BI Dashboard from Databricks Data
Connect Power BI to Azure Databricks, build a DAX model, create reports, and configure row-level security for different user roles.
Hiring partners for Azure Data Engineer Course
Amazon
CHIMERADeloitteHPGoogleIBMMicrosoft
InnovitiInfosys
NEXTGEN AIORACLETATATCSTech Mahindra
ubq technologies
WiproWELLS FARGOaccenturecapgeminiZOHORECOGNISE YOUR PROGRESS
Gain a course completion certificate
eMexo Technologies Course Completion Certificate in Azure Data Engineering This certificate confirms you completed the 60-hour Azure Data Engineer training at eMexo Technologies. It is a course completion certificate, not a Microsoft certification. Microsoft retired the DP-203 Azure Data Engineer Associate exam on March 31, 2025. The closest current vendor path is the DP-700 Fabric Data Engineer Associate exam, which is booked and paid separately with Microsoft. Our certificate demonstrates completion of the training and the pipeline portfolio you built.
LEARN WITH GUIDANCE
Your instructor
Kiran
Kiran is a senior Microsoft-certified trainer with 12+ years of enterprise IT experience. He specializes in Azure Data Engineering, Azure Solutions Architecture, Microsoft Identity (SC-300), Microservices, and Cloud Security. Having successfully trained over 1,500 batches, Kiran bridges the gap between theory and real-world application. His expert mentorship prepares learners to clear top Microsoft certifications (AZ-104, AZ-204, AZ-305, AZ-900, AZ-700, AZ-400, AZ-140) and build scalable cloud solutions.
A SIMPLE START
How to join
- 01
Tell us about your goals
Send an enquiry or application so we can understand your interests.
- 02
Discuss the course and schedule
Review the curriculum, prerequisites, learning format, and fees with our team.
- 03
Confirm your batch
Choose a suitable batch and complete enrolment with our admissions team.
PLAN YOUR NEXT STEP
Course fees
Get the current fees, available batches, and enrolment details from our team.
LEARNER EXPERIENCES
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YOUR QUESTIONS, ANSWERED
Frequently asked questions
Is a Data Engineering career realistic in Bangalore right now?
Yes. Bangalore's largest IT services companies, captive GCCs, and product firms are all running Azure and Snowflake data migrations, and they are understaffed for data engineering roles. The demand is real, but employers want to see actual pipelines you built, not just certificates. That is what this course delivers.
I am currently a SQL developer. Is this the right next step?
It is the most common background of learners who do well in this course. Your SQL skills translate directly into the Advanced SQL module, and the rest of the course builds the cloud and big data layer you need to move into data engineering roles.
The DP-203 exam was retired. Is it still worth learning Azure Data Factory and Databricks?
Yes. The DP-203 was a certification. Data Factory and Databricks are tools Bangalore employers use every day, regardless of which exam Microsoft currently offers. The closest current vendor path is the DP-700 Fabric Data Engineer Associate exam, and the course covers Microsoft Fabric with that in mind.
How does this course differ from your Data Analytics course?
The Data Analytics course teaches reporting, visualization, and statistics with tools like Power BI and Excel. This course teaches you to build the pipelines those analysts depend on: ingestion, transformation, warehousing, and orchestration. The roles are different — Data Analyst vs Data Engineer — and the skills overlap only at the edges.
Can I attend online if I cannot come to Electronic City?
Yes. Online learners join the same live sessions and complete the same labs in their own Azure subscription. You will need a laptop, an active Azure subscription, and a Databricks workspace. We help you set these up in the first week.
Why Train With Us
What Makes This Azure Data Engineering Program Different
The Trainer Runs These Pipelines in Production
Kiran does not just teach Data Factory and Databricks; he builds and operates them. When he covers error handling, incremental loads, or performance tuning, he is describing real problems he solved this week.
The Course Answers Interview Questions Directly
Data engineering interviews test your ability to explain pipelines, not services. Every module maps to the questions interviewers actually ask: how to handle late-arriving data, how to design SCDs, how to optimize a Spark job, how to structure a Snowflake warehouse.
Live Debugging, Not Recorded Videos
Every session is live and every learner shares their screen. The trainer fixes broken pipelines, misconfigured Data Factory links, and failing Spark jobs in real time. That is the only way these skills actually stick.
Portfolio That Gets You Interviews
You finish with four working pipelines running in your own Azure subscription — batch, streaming, warehouse, reporting. Those pipelines become the talking points in every interview.
Classroom or Online, Same Content
Attend at our Electronic City center or join the same live batch online. Both formats complete the same labs in your own Azure subscription.
Honest Career Guidance
We tell you clearly what our certificate is worth in Bangalore's data engineering job market, what the Microsoft DP-203 retirement means for your plans, and what your realistic path from your current role looks like.
Transparent Fees and Scheduling
Course fee, batch dates, and lab requirements are published clearly. No hidden costs, no surprise add-ons.
Job Assistance for Data Engineering Roles
Resume preparation, mock interviews, and a placement team that shares relevant Data Engineer, ETL Developer, and Analytics Engineer openings in Bangalore. Job assistance is support, not a placement promise.