Edunova

Data Engineering

Master the Modern Data Stack

Comprehensive, project-based training on the tools that power today's data teams.

Sharuk Shaik

Taught by Sharuk Shaik

Enterprise data engineering trainer with 10+ years of experience and 3000+ students trained

Lessons
25
Length
9h 28m
Live classes
3
Level
Intermediate

₹19,999

₹47,994

Sign in to enroll

New here? Create an account

  • 25 recorded lessons, yours for the life of the enrollment
  • 3 live classes with your instructor
  • Verifiable certificate on completion

What you will be able to do

About this course

The six programmes in this catalogue — SQL Server, Python, Azure Data Factory, Snowflake, dbt and Power BI — bought individually cost ₹47,994. This is the same ground, taught as one connected path instead of six separate purchases, for ₹19,999 all-inclusive.

The difference is not just price. Learning these tools together, in the order a real data team actually uses them, means the SQL you write in week one is the same SQL your dbt models lean on in week five, and the warehouse you design in Snowflake is the exact one your Power BI dashboard queries at the end. Every module ends with a piece of a single, growing capstone project — by the end you will have built and can demonstrate one complete, production-shaped data platform, not six disconnected exercises.

This is the programme we recommend for anyone who wants to be job-ready for a data engineering role, not just familiar with a list of tools.

Who it is for

  • Anyone who wants to become job-ready in data engineering, not just learn one tool
  • Analysts and developers making a structured career switch into data
  • Students who would rather buy one connected path than six separate courses

What you need

  • No prior data engineering experience required
  • Comfort with spreadsheets and basic computer use
  • A computer able to run free-tier cloud accounts (covered in Module 1)

Curriculum

7 modules · 25 lessons · 9h 28m

Lessons marked Preview are free to watch.

  • Python fundamentals through a data lens 28m
  • Processing data with pandas 26m
  • Calling APIs and writing an idempotent load 24m
  • Capstone step: the ingestion script 22m

  • ADF fundamentals: pipelines, datasets and linked services 26m
  • The Copy activity and mapping data flows 24m
  • Triggers, monitoring and failure handling 22m
  • Capstone step: orchestrating the ingestion pipeline 20m

  • Snowflake architecture and warehouse setup 24m
  • Loading data and working with semi-structured JSON 24m
  • Performance, cost and query profiling 22m
  • Capstone step: building the warehouse 22m

  • dbt fundamentals and project structure 24m
  • Tests, documentation and incremental models 24m
  • Capstone step: transforming the warehouse with dbt 24m

  • Data modelling and star schemas 22m
  • DAX and CALCULATE 26m
  • Capstone step: the finished dashboard 26m

  • Documenting your project for a portfolio or interview 20m
  • Walking through the architecture end to end 18m
  • What to build next 14m
Sharuk Shaik

Your instructor

Sharuk Shaik

Enterprise data engineering trainer with 10+ years of experience and 3000+ students trained

Sharukh Sir is a seasoned data engineering professional with over a decade of experience building and managing enterprise data platforms across multiple industries including banking, insurance, retail, and healthcare.

Having worked with organizations ranging from fast-growing startups to Fortune 500 companies, he brings a unique perspective that blends deep technical knowledge with practical business understanding.

His teaching philosophy is simple: theory without practice is incomplete. Every concept is taught with real-world context, every module ends with hands-on exercises, and every student graduates with production-grade project experience.

His mission is to make every student industry-ready from day one — not just in tools and technology, but in mindset, problem-solving, and professional communication.

10+ Years Industry Experience 3000+ Students Trained Enterprise-Grade Expertise Active Mentorship Community Hands-on expertise across Snowflake, dbt, Azure Data Factory, Power BI, SQL Server, Python, Azure DevOps and Git

Student reviews

4.5 · 2 reviews

Good pace, and the live query-optimisation clinic alone was worth it. Wish there was a bit more on indexing internals but that's a small gap.

Kwame Boateng · 10 Sep 2026

Practical from the first lesson. I used the window-function techniques on a real report at work in week two and cut something that used to take an hour down to five minutes.

Meera Sundaram · 10 Sep 2026

Common questions

Anything else, just ask.

Same tools, but taught as one connected path with a single capstone project that ties them together, at less than half the combined price of the six courses bought separately.

Enrollment does not expire unless we tell you otherwise at the point of sale. Recorded lessons, resources and live-class recordings stay in your account.

Yes. Module 1 starts from SQL fundamentals — the only expectation is comfort with a computer and spreadsheets.

No. They are scheduled for questions and critique, and every session is recorded and attached to the course afterwards. Attending is better, but the curriculum stands on its own.

One certificate for the complete programme, issued on finishing the curriculum — it verifies publicly and lists everything the programme covers.

Nothing. There is no cohort clock. Your progress is saved per lesson and the dashboard always shows you the next thing to watch.

Master the Modern Data Stack

25 lessons, 9h 28m of instruction , plus 3 live sessions.

₹19,999

Sign in to enroll