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Career Plus roadmap

Data Engineering: The Complete, Job-Ready Program

SQL and Python first, then Azure Data Factory and Snowflake, then dbt and Power BI, in the order we would actually recommend.

One course teaches you a tool. This path teaches you the job: get comfortable with the languages first, learn to move and store data at scale, then transform it...

Start with the first course See the full roadmap
Courses
6
Stages
4
Hours of instruction
33
Students on this path
7

10+ Years Industry Experience

3000+ Students Trained

Enterprise-Grade Expertise

Active Mentorship Community

The outcome

What you'll walk away able to do

Not a list of topics covered. These are the actual, specific things you'll be able to do once you've worked through this path.

Write joins, subqueries and CTEs without reaching for documentation

Use window functions for running totals, rankings and comparisons across rows

Read an execution plan and know where a slow query is losing time

Solve the kind of messy, ambiguous SQL problem an interview or a real job actually gives you

Process and clean real-world data with pandas confidently

Call a REST API correctly, including pagination and authentication

Write an ETL script that is safe to re-run without duplicating or corrupting data

Structure Python data code so someone else on the team can maintain it

The roadmap

Every step, in order

Or take the same path one course at a time: each step below is a complete, independently enrollable programme on its own.

  1. 1

    FOUNDATION

  2. 2

    DATA ENGINEERING

  3. 3

    TRANSFORMATION

  4. 4

    ANALYTICS

  5. 5

    Real-world project

    Build an end-to-end data platform

    Combine every tool above into one project: pull data from an API with Python, land and model it in Snowflake, orchestrate the load with Azure Data Factory, transform it with dbt, and present it in a Power BI dashboard. It is the same shape of project a real data engineering job would ask you to do.

  6. Job-ready

Fit check

Is this the right path for you?

This path is for you if

  • Anyone starting a data analyst or data engineer path from zero
  • Developers who write SQL occasionally and want to stop guessing
  • Analysts who know basic SELECT statements and want to go further
  • SQL users who want to add scripting and automation to their toolkit
  • Analysts moving toward a data engineering role
  • Anyone automating a manual, repetitive data task for the first time
  • Data engineers working in, or moving into, an Azure environment
  • ETL developers migrating from an on-premises tool to a cloud-native one

What you need to start

  • No prior SQL experience required
  • A computer that can run a free database (setup is covered in Module 1)
  • No prior programming experience required
  • A computer able to install Python (setup is covered in Module 1)
  • A free-tier Azure subscription (setup covered in Module 1)
  • Basic SQL, useful but not required
  • Comfort with SQL (the SQL for Data Engineering course, or equivalent)
  • A Snowflake trial account (free to create, covered in Module 1)

Who teaches it

Meet your instructors

Sharuk Shaik

Sharuk Shaik

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

10+ years experience

Two ways to enroll

Take it step by step, or all at once

One course at a time

₹47,994 total

Enroll in each of the 6 courses separately, in the order shown above. Pay as you go, and nothing commits you to the rest of the path.

Start with the first course

Best value

All-in-one bundle

₹19,999

₹47,994

Save 58%

Master the Modern Data Stack covers this entire path in one enrollment, one certificate, one place to track progress.

Enroll in the bundle
Lifetime access to every course Certificate on completion Live classes with your instructor

Questions

Before you enroll

Something not covered here? Write to us and we will answer within a working day.

Standard ANSI SQL throughout, with notes wherever Postgres, MySQL and Snowflake syntax genuinely differ.

No. Module 1 starts from a proper setup and the basics of the language, taught through data examples throughout.

Yes, a free-tier subscription is enough for every exercise in this course. Setup is covered in Module 1.

A free trial account, created in Module 1, is enough for every exercise in this course.

Examples use Snowflake, but every concept applies directly to BigQuery, Redshift or Postgres with dbt.

Power BI Desktop is free and is all you need for every exercise in this course.

Ready to start Data Engineering: The Complete, Job-Ready Program?

Enroll in the first course above. Each one is yours on its own, so you can go at your own pace through the rest of the path.

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Data Engineering: The Complete, Job-Ready Program

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