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What You'll Learn

In this intensive hands-on masterclass, you'll learn how to design, implement, and manage a Lakehouse architecture using Azure Databricks. This session is perfect for data professionals, providing you with practical insights into building unified data platforms that integrate both structured and unstructured data for modern analytics workflows.

You'll learn how to design a scalable and cost-efficient Lakehouse architecture, implement real-time and batch data pipelines, optimize big data processing with Delta Lake, and integrate with the Azure ecosystemfor end-to-end data solutions .

By the end of the session, you'll have the skills to build and deploy a Lakehouse pipeline that combines the flexibility of data lakes with the performance of data warehouses, leveraging the power of Delta Lake on Azure Databricks.

Agenda

  • What is Lakehouse and Medallion Architecture?
  • Setting Up the Lakehouse
  • Build and deploy a Lakehouse pipeline
  • Automate testing and deployment with CI/CD
  • Q&A Session
  • Tools: Delta Lake, Spark, Databricks.

Who is This Training For?

Freshers & College Students

Software Engineers & Developers

Tech Leads and Managers

Freelancers & Solopreneurs

Women After a Career Gap

Anyone Looking for a Change

Who Can Join?

This session is designed to accommodate a wide range of professionals, whether you're looking to enhance your technical skills or gain a deeper understanding of how to leverage the latest in data architecture technologies. Ideal for professionals in data-related roles who want to deepen their knowledge of modern data architectures and enhance their ability to implement scalable, efficient data solutions.

Prerequisites

Basic knowledge of Python and SQL

Your Data Engineering Mentor

Velmurugan M S

Data Architect
(503 Reviews)

Velmurugan M S is a Data Architect highly skilled and passionate data professional with over 18 years of industry experience,10+ yrs of rich experience in implementing Data Engineering, Data Lake, Data Warehousing, and Data Platform Modernization solutions in Fortune 500 clients across Supply Chain, Retail, and Banking domain.

He has been proficient in designing and implementing Lakehouse Architectures to bridge the gap between data lakes and data warehouses, leveraging tools and platforms like Databricks, Snowflake and Microsoft Fabric to deliver scalable, high-performance solutions. Expertise includes integrating modern cloud-based technologies to enable seamless data access, real-time analytics, and cost-effective storage solutions.

Contact Me
Student Reviews

What Our Students Saying

Through a combination of lectures, readings, discussions, students will gain a solid foundation in educational psychology.

Siddharth v
Software Engineer

“I learned something brand new, or went deeper on topics I already knew almost every single week. The value of that really can't be understated. The best thing about the Course is definitely the level of detail. The Course really went deep into spark internals, which I was really impressed by level of detail was maintained across every single topic.”.

Soumya Parida
Specialist at 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..”.

Arjun Mathur
Senior Data Engineer

Velmurugan demonstrated exceptional knowledge of Spark and Databricks. His ability to break down complex topics into simpler explanations was commendable. His practical examples and approachable nature made the learning process highly engaging.

Ravikanth Perepu
Data Analyst

The hands-on labs on Databricks were well-designed and aligned with industry scenarios, making the concepts easier to apply. Providing additional advanced exercises could further challenge learners and solidify their understanding."

Rahul K
Database Admin

“The best thing about Course are the people. But to elaborate, the team not only work as data engineers in their day job, but they've put this Course together to share their knowledge and grow the industry. Learning from such passionate teachers is an inspiration for any student.”.

Jaikumar K
Data Analyst

“I can absolutely recommend the Data Engineering Course to everyone that needs to acquire the modern data engineering skills in a fast, digestible and reliable way. In 16 weeks you will receive a perfectly developed curriculum of the most important concepts and tools in data engineering. ”.