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Next batch starts October 13, 2026Details

Comprehensive curriculum

Master the modern data stack

Production-grade, hands-on training on the tools that power modern enterprise data platforms — 7 courses, 90 modules, two end-to-end projects.

How the tools fit together

Each course covers one part of a real pipeline. In the projects you connect them all.

  1. 01 · Ingest

    ADF · Fivetran · Python

  2. 02 · Warehouse

    Snowflake · SQL

  3. 03 · Transform

    dbt models & tests

  4. 04 · Report

    Power BI · Tableau

Apache Airflow schedules, orchestrates and monitors every step.

All 7 courses

01

Snowflake

Store · 31 modules

From account setup and virtual warehouses to Snowpipe, Streams and Tasks, performance tuning, governance and data sharing.

  • Introduction to Snowflake
  • Virtual Warehouses
  • Pricing & Cost Management
  • + 28 more modules
02

SQL

Query · 8 modules

Query foundations through joins, subqueries, CTEs and window functions, finishing with project-style deduplication and validation practice.

  • Query foundations
  • Tables & data operations
  • Functions & expressions
  • + 5 more modules
03

dbt

Transform · 20 modules

Build, test, document and deploy transformation models on Snowflake with dbt Cloud and GitHub — through incremental models, snapshots and scheduled jobs.

  • Introduction to dbt
  • Snowflake & dbt Cloud Setup
  • Project Structure & GitHub Integration
  • + 17 more modules
04

Azure Data Factory

Ingest · 9 modules

Build parameterised ADF pipelines that load source data into Snowflake — full and incremental — and hand off to Airflow.

  • Introduction & Core Concepts
  • Connections & Integration Runtime
  • Datasets & File Configuration
  • + 6 more modules
05

Fivetran

Ingest · 5 modules

Configure managed connectors and syncs that land source data in Snowflake, then validate it and use it as dbt sources.

  • Introduction & ELT Architecture
  • Source & Destination Setup
  • Initial & Incremental Syncs
  • + 2 more modules
06

Python

Ingest · 10 modules

Write Python that extracts data from REST APIs — with pagination, retries and error handling — and loads it into Snowflake, ready for Airflow.

  • Python Setup & Basics
  • Lists & Dictionaries
  • Conditions & Loops
  • + 7 more modules
07

Apache Airflow

Orchestrate · 7 modules

Orchestrate the whole pipeline as Airflow DAGs — trigger ADF or Fivetran, run dbt after ingestion, and handle failures safely.

  • Introduction & Setup
  • DAGs, Tasks & Dependencies
  • Creating Workflows
  • + 4 more modules

Swipe for more →

Why learn with Sharukh Academy

  • Two end-to-end projects

    Build two complete pipelines across ingestion, warehousing, transformation and orchestration to showcase on GitHub and your resume.

  • Live weekend classes

    Interactive weekend sessions with real-time doubt resolution and peer learning.

  • Lifetime access

    All HD lecture recordings, source code, and future module updates.

  • Completion certificate

    An industry-recognised certificate of completion to validate your technical capability.

  • Placement assistance

    Dedicated resume reviews, technical mock interviews, and alumni job referrals.

  • Practical focus

    75% hands-on labs with real datasets and production-grade architectures.

16-week program

Your learning roadmap

  1. Phase 1

    Warehouse & SQL foundations

    Snowflake and SQL — loading, querying, security and performance.

  2. Phase 2

    Ingestion

    Bring data into Snowflake with Azure Data Factory, Fivetran and Python.

  3. Phase 3

    Transformation & orchestration

    Model and test with dbt, then orchestrate everything with Airflow.

  4. Phase 4

    Projects & interviews

    Two end-to-end projects, mock interview rounds and resume optimisation.

Start with the next live batch

Weekend classes, lifetime recordings and placement support.

See the complete syllabus

90 modules across 7 courses, both projects, and the downloadable PDF — free.

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