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✦ INDUSTRY-STANDARD · 100% PROJECT-DRIVEN

Master
End-to-End
Azure Data
Engineering.

Build production-grade pipelines from ingestion to insight. Learn SQL, Azure Data Factory, Databricks and PySpark by shipping a real retail lakehouse — guided by Atchyut Kumar.

Enroll in UDEMY courseEnroll in the programWhat you'll learn
Modules
33Modules
Phases
13Phases
Capstone Project
1Capstone Project

/ Live trainings

The next sessions, and the dates they run.

Azure Data Engineering

4 upcoming sessions · next on Sep 4

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  • 04Sep

    ADF: Data Migration from SQL Server to Blob (CSV)

  • 07Sep

    Incremental Load

  • 10Sep

    Merge: Slowly Changing Dimension SCD Type 1, Type 2

  • 21Sep

    Regular Batch Demo

  • Ingest
  • Store
  • Transform
  • Orchestrate
  • Serve
  • SQL
  • Data Factory
  • Databricks
  • PySpark
  • Delta Lake
  • Unity Catalog

/ What you'll learn

Follow the data — from raw source to real decisions.

The 13 phases map onto five stages of a production pipeline. You'll build each stage yourself, then connect them into a single retail lakehouse.

01

Data Factory · Auto Loader

Ingest

Pull data from databases, files and streams. Build a metadata-driven framework that handles full and incremental loads from one pipeline.

  • Batch & streaming sources
  • Watermarking & CDC
  • Metadata-driven framework
Ingest
02

ADLS Gen2 · Lakehouse

Store

Design a medallion lakehouse on ADLS Gen2. Model bronze, silver and gold layers on Delta, with ACID guarantees and a real transaction log.

  • Delta Lake & the _delta_log
  • Bronze/Silver/Gold
  • Z-ordering & liquid clustering
Store
03

Databricks · PySpark

Transform

Clean, join and reshape at scale. Handle schema drift, deduplication and business logic with tested Spark jobs.

  • PySpark & SQL
  • Schema evolution
  • Unit-tested transforms
Transform
04

ADF Pipelines · Databricks Workflows

Orchestrate

Schedule, monitor and retry. Wire the stages into multi-task workflows with dependencies, automated retries and an enterprise audit log.

  • Task dependencies
  • Retries & scheduling
  • Logging & audit framework
Orchestrate
05

Unity Catalog · Gold Layer

Serve

Turn curated data into decisions. Publish business-ready gold marts governed by Unity Catalog, with lineage and fine-grained access control.

  • Business-ready gold marts
  • Unity Catalog lineage
  • Row & column-level security
Serve

/ The path

Thirteen phases. Thirty-three modules. One production platform.

Built for data engineers with 3–8 years of experience. The programme moves in order — foundations, then the Azure stack, then the enterprise patterns a senior engineer is expected to own. Nearly every phase ends in a hands-on build.

/ Free resources

Try the teaching before you pay for it.

66 free lessons across five playlists on the EduFulness channel — same instructor, same approach. Start with Data Factory, then work through PySpark and SQL.

/ Live classes

Sit in on the next live session.

Recorded lessons show you the material. A live class lets you ask the awkward question halfway through — which is usually where the learning actually happens.

Aug22
Upcoming live class

Building a Metadata-Driven Ingestion Framework in ADF

A working session on the pattern that separates senior data engineers from everyone else: one pipeline, driven by metadata tables, handling full and incremental loads across any number of sources.

  • Saturday, 22 August 2026
  • 10:00 AM IST · 90 minutes
  • Online · free to attend
  • Design the source and target metadata tables
  • Drive a single pipeline with ForEach and dynamic content
  • Live Q&A with Atchyut at the end
Register free

No payment required

/ The program

One course. The entire Azure data stack.

Weekday & weekend batches · 100% project-driven

Azure Data Engineering with SQL, Data Factory, Databricks & PySpark

An industry-standard curriculum for professionals with 5+ years of experience. From raw ingestion to a governed gold layer, ending in a full retail lakehouse build.

  • 70–80 hours · 3–4 months
  • 33 modules across 13 phases
  • Databricks certification prep

Full programme

70–80Hours · 3–4 months · weekday & weekend batches

Enroll in the programRequest the syllabusEnroll in the Udemy courseJoin WhatsApp channel for updates
Atchyut Kumar, lead instructor

Atchyut Kumar

Lead Instructor · M.Tech, NIT Calicut

/ Your instructor

Learn from someone who has mentored 50,000 students.

Atchyut Kumar holds an M.Tech from NIT Calicut and placed in the 99.97 percentile of GATE CS/IT (AIR 440). Across 15+ years in teaching, research and industry he has mentored students into roles at Amazon, Google, Oracle, Samsung and Adobe — and brings 9+ years of hands-on data engineering to every module.

  • Data Engineering — 9+ years of hands-on data integration, transformation and schema design.

  • GATE CS/IT Faculty — 7+ years teaching GATE aspirants, with a track record of top ranks.

  • Algorithms — Competitive programming, optimisation and problem-solving technique.

Years experience
15+Years experience
Students mentored
110k+Students mentored
GATE percentile
99.97GATE percentile

/ What students say

Reviews from people who finished it.

Unedited feedback from students who took the Azure Data Factory and Data Engineering training.

The course was well-structured and easily understandable. Atchyut Kumar Sir's way of teaching is excellent. His explanations, course materials, and real-life examples made even complex topics very clear. The course is suitable for both beginners and experienced ones. Everything I expected from this course has been fulfilled. I strongly recommend this course and the trainer to anyone who wants to learn Azure Data Factory and Data Engineering in a simple and effective way. The course fee is also very reasonable and more affordable compared to other institutions.
Ramana
I started this course to learn Azure Data Factory from scratch, and it completely changed my perspective on learning ADF. The instructor explains everything from ABC to XYZ in a very clear and smart way. All topics are covered logically and practically, with focus only on important concepts, so you never feel bored. This course is perfect for beginners as well as working professionals who want strong ADF fundamentals. Highly recommended!
Karthik
I'll say this is the BEST course for an ADF beginner!! The logic of the course is very clear. Through just watching the videos, I feel I've much more familiar with the set up process for pipelines. The project part is a gold material too. Make sure you are not missing that part. Appreciate the tutor a lot!
Ziyou
Just completing this course, and it was absolutely worth the time. The trainer has deep expertise and explains every concept with great clarity. I learned a lot, and I genuinely appreciate the quality of the content. Thank you for such an excellent course! 110%/100
Rajveeka
Very good course. It gives us in depth knowledge of data factory and its activities. Also, it explains the all the transformations very clearly. Perfect course to get started with.
Shubham
For beginners looking to get started with Azure Data Factory, this is a great place to begin. The explanations are detailed and easy to follow. Thank you, Atchyut Kumar, for your excellent guidance!
Riyaz
So far, the explanation has been exceptionally clear and engaging. I am truly impressed by the remarkable depth of detail provided by the instructor.
Fauzan
I really like the effort you put into this... You did a great job sir
Sai Kumar

/ Ready to build?

Start your data engineering journey.

Leave your details and we'll send the full 33-module syllabus and the next batch dates — or join the WhatsApp channel for announcements.

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