Snowflake Data Engineering MasterClass on 📅 29th June @ 8:30 PM IST
Register Now for FREE
🔥 FREE Live Masterclass

Master Snowflake Data Engineering

Learn Snowflake & Build a High-Paying Data Career

Practical roadmap to master Snowflake, Data Modeling, ELT Pipelines, Performance Optimization, and Real-World Data Engineering Projects.

60 Days Action Plan Structured learning roadmap
Real Snowflake Projects Build a job-winning portfolio
Data Warehousing Mastery Industry-focused skills
2-Hour Free Masterclass Career transition blueprint

Mentor - Ms. Sai Sri

Snowflake Data Engineer

Starts On 29th June 2026
(08:30 PM)

Language - English

Fill Out The Form Now!
Bonus: You’ll also get a checklist for “Job-ready Snowflake portfolio” + interview prep tracker.

Success Stories

Badal

Ayushi

( Hexaware Technology )

Old Package:

20 L

New Package:

26 L

Ritu

Pritesh

( Mckinsey,lti mindtree,SteerLean )

Old Package:

15 L

New Package:

30 L

WHAT YOU LEARN

Phase 1: Snowflake Foundations

  • Understand Snowflake architecture, editions, and cloud ecosystem
  • Connect with SnowSQL and partner tools for hands-on practice
  • Create roles, users, and access controls with confidence

Phase 2: Warehouses & Storage

  • Configure virtual warehouses, privileges, and resource monitors
  • Create databases, schemas, tables, and understand cache layers
  • Work with Time Travel, Fail-safe, and recovery best practices

Phase 3: Data Loading & Snowpipe

  • Load and unload data from on-premises and cloud environments
  • Use internal stages, external stages, and query staged files
  • Automate continuous ingestion with Snowpipe and semi-structured data loads

Phase 4: Advanced Snowflake

  • Build with streams, tasks, cloning, sharing, UDFs, and procedures
  • Apply masking policies for column-level and row-level security
  • Improve performance using clustering, micro-partitions, and materialized views

Phase 5: DBT for Analytics Engineering

  • Set up DBT Cloud and connect Snowflake with GitHub version control
  • Learn models, materializations, seeds, sources, tests, and snapshots
  • Use macros, hooks, exposures, and documentation in real workflows

Phase 6: ADF & Cortex AI

  • Build ADF pipelines to move data from Azure Blob Storage to Snowflake
  • Explore Cortex Analyst, Document AI, and LLM-powered AI functions
  • Understand real-time project flow, interview prep, and resume building

Offer Letters

Offer letter proof 1
Offer letter proof 2
Offer letter proof 3
Offer letter proof 4

Reviews

Vishal Yennam avatar

Soumya Parida

Current Company Name : Ltimindtree
★★★★★

Velmurugan is a very nice tutor and very well equipped with bigdata technologies like Hadoop, python, pyspark, sql, AWS and azure services. Previously I was into support environment,but with his help I transitioned my career into data engineering domain with a decent salary hike. He not only cleared the concepts but also used to give me realtime scenarios which helped me a lot in cracking the interviews. So would highly recommend everyone to attend his training who want to transition their career in data engineering domain.

Abhishek Sharma avatar

Paramjit Singh

Course : AWS Data Engineering & Databricks Certified data engineer associate
★★★★★

Velmurugan sir ability to break down complex concepts into simpler, easy-to-understand explanations is remarkable. He guided me step by step, ensuring I had a solid grasp of both foundational and advanced topics. His mentorship was instrumental in helping me clear the Databricks certification, which had been a major goal for me. What sets him apart is his hands-on approach to teaching. He did not just prepare me for the certification but also helped me address real production challenges with actionable solutions. His insights and practical tips have had a lasting impact on my ability to troubleshoot and optimize data engineering workflows.

Tejaswi S avatar

Kirti Sharma

 
★★★★★

Learning from Velmurugan was an incredible experience. His deep knowledge of AWS Glue, Spark, and Databricks is matched by his ability to teach in a way that makes even the most complex topics approachable. I am extremely grateful for his mentorship and would highly recommend him to anyone aspiring to grow in the fields of data engineering or cloud technologies. Velmurugan's commitment to his students' success truly sets him apart.

Bonny Joseph avatar

Bonny Joseph

Current Company Name : Amazon (Seattle, Washington, United States)
★★★★★

Vel did an excellent job of teaching all the foundational concepts before diving into hands-on work. He ensured I became proficient with modern data engineering tools, which have been incredibly helpful in my current role.

Sarangan Subramaniam avatar

Sarangan Subramaniam

Current Company Name : Expleo United Kingdom
★★★★★

Velmurugan is a very nice tutor and very well equipped with bigdata technologies like Hadoop,python, pyspark,sql,AWS and azure services.Previously I was into support environment,but with his help I transitioned my career into data engineering domain with a decent salary hike.He not only cleared the concepts but also used to give realtime scenarios which helped me a lot in cracking the interviews. So would highly recommend everyone to attend his training who want to transition their career in data engineering domain.

About the Mentor

🎓 AWS Certified
Velmurugan M.S. Mentor Photo

Ms. Sai Sri

Snowflake Data Engineer

Snowflake Data Engineer

Ms. Sai Sri is a seasoned Data Engineering and Cloud Solutions expert with over 11 years of industry experience. She specializes in Snowflake, DBT, Azure Data Factory (ADF), and AWS, with a strong track record of designing and implementing scalable data platforms, data warehouses, and automated ETL pipelines. she is passionate about sharing her expertise and helping professionals build successful careers in modern data engineering and cloud technologies.

60 LPAHighest CTC Recorded
2000+ LearnerFrom 30+ Countries
1000+ HoursTraining
200+ CareerTransformation
100+ BatchesDelivered

Who Is This Workshop For?

Individuals seeking a specialized course in Snowflake Data Engineering
Professionals targeting Snowflake, DBT, ADF, and AI-enabled data roles
Learners looking for job-ready skills and interview preparation
Candidates with 3+ years of experience aiming to upskill in data engineering
Anyone who wants real-time project exposure with practical implementation

Certification

Certificate Preview

How certification works :

  • Attend the live masterclass session.
  • Complete the required roadmap steps/project checklist.
  • Submit final details and get your completion certificate.

Some of the tools you will learn in this masterclass

AWSSnowflake
Apache SparkApache Airflow
Apache SparkApache Airflow
Apache SparkAzure Data Factory
Apache SparkPower BI
Apache SparkSnow Park
Apache SparkAmazon s#

Frequently Asked Questions (FAQs)

  • If you’re working in Support, Testing, Development, .NET, SQL, Power BI, Informatica, SSIS, or Mainframe — this masterclass is your bridge to AWS Data Engineering.
  • No prior AWS experience? No problem. We cover everything from basics to advanced, to make you industry-ready.
  • Even non-tech learners can join the program.
  • Data Integration: Design real‑world ETL pipelines using AWS Glue, Step Functions, and Amazon Managed Airflow to move data across RDS, DynamoDB, S3, and Iceberg/Snowflake/Redshift.​
  • Big Data & Compute: Build scalable PySpark workloads on AWS Glue and EMR, applying Medallion architecture and Spark optimization best practices.
  • Storage & Analytics: Implement S3‑based data lakes, Apache Iceberg tables, Amazon Redshift Serverless, Snowflake on AWS, and Athena for end‑to‑end analytics.
  • SQL Fundamentals: Strengthen SQL on Athena, Redshift, Snowflake, and RDS with real scenarios like CTEs, SCD Type 2, and incremental data loads.
  • Our program is designed to bridge the gap between learning and earning.
  • The Blueprint: Master the tools and FAQs across the full stack—AWS, Pyspark, and Snowflake.
  • The Portfolio: Build a high-impact project portfolio to prove your technical expertise.
  • The Personal Brand: Optimise LinkedIn and Resume to ensure you stand out to top-tier recruiters.
  • The Rehearsal: Gain confidence through mock interviews to crack high-paying AWS Data Engineering roles
  • 60 Days.
  • By balancing technical depth with practical mentorship, we ensure you gain maximum proficiency in minimum time. Your transition to AWS Data Engineering isn't a years-long process—it's a 60-day strategic shift.

Ready to join?

Click below to register. After successful registration you’ll be redirected to WhatsApp group.