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Next batch starts October 13, 2026Details

Live weekend data engineering training

Become a high-impact data engineer.

Master modern cloud pipelines with Snowflake, SQL, dbt, Azure Data Factory, Fivetran, Python and Airflow — with real-world enterprise skills, taught live by Sharukh Sir (10+ years of enterprise experience).

  • Live weekend classes
  • 2 end-to-end projects
  • Certificate on completion

Next batch starts

October 13, 2026

Schedule
Weekends — Sat & Sun, 10:00 AM – 1:00 PM IST
Duration
16 weeks
Seats8 of 25 left

Tools you'll use in production

  • Snowflake
  • SQL
  • dbt
  • Azure Data Factory
  • Fivetran
  • Python
  • Apache Airflow
  • Power BI
  • Tableau
  • GitHub

What you'll learn

Seven tools, one production pipeline

Follow data the way it moves in a real company — from source systems into Snowflake, through dbt, to reporting. 90 modules, taught live.

Full syllabus
  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.
Students trained
3000+
Placement rate
92%
Years in industry
10+
Student rating
4.9/5

Why Sharukh Academy

Real-world mentorship, not recorded theory

“Theory without real production practice is incomplete. Our goal is to make you day-one ready with end-to-end cloud pipeline architecture.”
Sharukh Sir Lead trainer & enterprise architect
  1. 01

    10+ years of enterprise experience

    Learn directly from a practitioner who builds production data platforms across Banking, Retail, and Healthcare.

  2. 02

    Job-ready, real project curriculum

    Every concept is reinforced with production pipelines — not superficial toy scripts. Build systems that impress hiring managers.

  3. 03

    The complete modern data stack

    Snowflake, SQL, dbt, Azure Data Factory, Fivetran, Python and Airflow in one hands-on learning roadmap.

  4. 04

    1-on-1 mentorship & doubt resolution

    Interactive live weekend classes with dedicated Q&A sessions, code reviews, and personal career guidance.

  5. 05

    Interview prep & resume building

    Scenario-based mock interviews, technical rounds preparation, LinkedIn optimisation, and interview question banks.

  6. 06

    Active alumni & community network

    Lifetime access to our data engineering community for continuous peer learning, referrals, and career growth.

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From the classroom

Watch Sharukh Sir in action

Lecture and project clips from our live training sessions.

Follow @sharukhacademy

16-week program

How the program is structured

Each phase builds on the last, and both projects bring every tool together.

  1. Phase 01

    Warehouse & SQL foundations

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

  2. Phase 02

    Ingestion

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

  3. Phase 03

    Transformation & orchestration

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

  4. Phase 04

    Projects & interviews

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

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Two end-to-end projects

Build the pipelines hiring managers ask about

Ingestion, Snowflake layers, dbt models and tests, Airflow orchestration — ending in Power BI or Tableau.

Project 1

  • ADF
  • Snowflake
  • dbt
  • Airflow
  1. 1.Extract and load source data using ADF.
  2. 2.Organize data into raw, transformation, and reporting layers in Snowflake.
  3. 3.Build dbt models, incremental transformations, and data quality tests.
  4. 4.Schedule and monitor the workflow using Airflow.
  5. 5.Connect final reporting tables to Power BI or Tableau.

Project 2

  • Fivetran
  • Snowflake
  • dbt
  • Airflow
  1. 1.Configure managed ingestion using Fivetran.
  2. 2.Handle initial and incremental syncs into Snowflake.
  3. 3.Apply a different set of business requirements through dbt transformations.
  4. 4.Coordinate ingestion and transformation runs using Airflow.
  5. 5.Prepare validated reporting models for Power BI or Tableau.

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Who should attend

Designed for career growth

Whether you're switching domains or upgrading your stack, the curriculum meets you where you are.

  • Software & IT developers

  • Traditional ETL developers

  • Data & BI analysts

  • Fresh graduates & postgrads

  • Non-IT career switchers

Start your transition

Alumni stories

Real stories, real results

Snowflake & ADF

“Sharukh Sir's training gave me the exact confidence and technical depth required to handle enterprise Snowflake & ADF pipelines independently. The real-project approach is unmatched — I cracked multiple interview rounds within 2 months!”
Ravi K.Data Engineer, TCS

DBT & Power BI

“The DBT and Power BI modules were exactly what was missing in my career. The curriculum is structured logically from foundational SQL to advanced dimensional modeling. I received a significant promotion shortly after completing the program!”
Priya M.BI Developer, Tech Mahindra

Career switch

“As someone transitioning from manual testing to data engineering, I was confused by generic online tutorials. Sharukh Sir's direct live mentorship, mock interview guidance, and real capstone projects made my career switch possible.”
Ankit S.Data Analyst → Data Engineer, Infosys

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Questions

Frequently asked

What is the mode and schedule of the training?

All training is conducted online via live interactive sessions on weekends (Saturday & Sunday, 10:00 AM – 1:00 PM IST). High-definition class recordings, project code repositories, and notes are uploaded within 24 hours of each session for lifetime access.

Do I need prior data engineering or cloud experience?

Basic SQL understanding is helpful, but no prior cloud or data engineering experience is required. The curriculum is structured sequentially from fundamentals to production architecture, making it suitable for freshers and experienced IT professionals alike.

Will I get a recognised completion certificate?

Yes. A verifiable Certificate of Completion is issued when you finish the program and submit your end-to-end projects. You can showcase it on LinkedIn and in job applications.

What if I miss a live weekend session?

Every session is recorded and shared with lifetime access. Watch the recording at your own pace and bring your doubts to the live Q&A sessions or our private student discussion group.

What kind of interview and placement support is provided?

Comprehensive placement assistance including 1-on-1 resume reviews, LinkedIn profile optimisation, scenario-based mock interviews, technical assessments, and job referrals through our alumni network.

Which technologies will I learn?

Snowflake, SQL, dbt, Azure Data Factory, Fivetran, Python for REST API ingestion, and Apache Airflow for orchestration. In both projects you connect the final reporting tables to Power BI or Tableau.

Still unsure? Chat with a mentor

Ready to launch your data engineering career?

Join the next live weekend cohort and learn the production cloud data stack with Sharukh Sir.

See the complete syllabus

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

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