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Transform your career trajectory with Data Engineering

  • Learn from leading industry experts working at the world's most innovative companies
  • Data Engineering is one of the most dynamic and rapidly growing professions in the data industry today! Skilled Data Engineers can earn impressive salaries, often exceeding 50-70 lakh per year.
  • Given the vast scope of the field, which involves numerous tools operating across diverse platforms, true experts are rare and highly sought after, making them exceptionally well-compensated.
  • 16 weeks part-time classes that adapt to your busy schedule

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Building a Lakehouse Architecture

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AWS Data Engineering
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Microsoft Fabric
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18+ Years Of Experiences

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About Learn Data on Cloud

Data Engineering Coach

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.

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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. ”.

Our Blogs

Have a Look on Our News

Leveraging Databricks and Microsoft Fabric for Scalable Data Engineering Pipelines.

Discuss how Databricks and Microsoft Fabric complement each other in building scalable and efficient data pipelines.

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Unified Analytics with Databricks: Bridging Big Data and BI

Highlight how these platforms enable seamless transitions from data engineering to advanced analytics and business intelligence.Cover use cases involving Microsoft Power BI and Databricks' Delta Lake.

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Delta Lake on Microsoft Fabric: The Next Evolution in Data Management

Dive into using Delta Lake on Databricks with Microsoft Fabric to build modern data platforms.Discuss features like ACID compliance, versioning, and time travel.

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