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Snowflake - Build & Architect Data pipelines using AWS (Udemy.com)

Data engineering and architecting pipelines using snowflake & AWS cloud

4.4
662 reviews

Created by: Sid Raghunath

Last updated February 2026

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What you will learn

  • Will learn everything needed for Snowpro Advanced Data engineering certification
  • Snowflake as a data-warehouse & automated pipelines within snowflake ecosystem
  • Use AWS Cloud with Snowflake as a data-warehouse
  • Integrating real time streaming data and data orchestration with Airflow and Snowflake

How it compares

Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:

  • Rating4.4 out of 5higher than 35% of them
  • Reviews662#179 of 372 by number of reviews
  • Length8.8 hourslonger than 72% of them
  • Last updatedFebruary 2026more recently than 61% of them

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Course Description

Course Update as of Feb 2023 : This Course has been updated with Snowpark API which covers UDFs,Stored Procedures for ETL and also covers Machine Learning use-case deployments . This course will help you clear SnowPro Advanced Certifications


Snowflake is the next big thing and it is becoming a full blown data eco-system . With the level of scalability & efficiency in handling massive volumes of data and also with a number of new concepts in it ,this is the right time to wrap your head around Snowflake and have it in your toolkit . This course not only covers the core features of Snowflake but also teaches you how to deploy python/pyspark jobs in AWS Glue and Airflow that communicate with Snowflake , which is one of the most important aspects of building pipelines .

Anyone who has a basic understanding of cloud and belong to one of the below backgrounds can benefit from this course :

- Data Scientists / Analysts

- Data Engineers / Software Developers

- SQL Programmers or DBA's

- Aspiring Data analysts and scientists who are learning SQL and Python


This Course covers : 


  • What is Snowflake

  • Most Crucial Aspects of Snowflake in a very practical manner

  • Writing Python/Spark Jobs in AWS Glue Jobs for data transformation

  • Real Time Streaming using Kafka and Snowflake

  • Interacting with External Functions & use cases

  • Security Features in Snowflake

Prerequisites for this course are : 


  • Knowing SQL or at least some prior knowledge in writing queries

  • Scripting in Python (or any language )

  • Willingness to explore ,learn and put in the extra effort to succeed

  • An active AWS Account & know-how of basic cloud fundamentals

Important Note -  You need to have an active AWS Account in order to perform tasks in sections related to Python and PySpark . For the rest of the course , a free trial snowflake account should suffice .


Some Tips : 

  • Try to watch the videos at 1.2X speed

  • Read the reference links and the official documentation of Snowflake as much as possible


Read More Intermediate Intermediate Level product length iconTime: 8.8h

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Instructor Details

Sid Raghunath

I am a Business oriented Data Architect with a vast experience in the field of Software Development,Distributed processing and data engineering on cloud . I have worked on different cloud platforms such as AWS & GCP and also with on-prem hadoop clusters. I also give seminars on Distributed processing using Spark , real time streaming and analytics and best practices for ETL and data governance.I am also a passionate coder ,love writing and building optimal data pipelines for robust data processing and streaming solutions . 

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Reviews

4.4

662 ratings on Udemy

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By Óscar Picallo Trillo on 1/12/2025

Its a good course, but it uses a older version of snowflake and aws. The scripts provided are not 100% right, you will need to correct typos by yourself. Course needs to be updated.

By Purnima Sharma on 10/5/2024

Extremely well-designed course! I learned a lot from this course. The contents and explanations were very good, and I would highly recommend this course to anyone who wants to learn data engineering on snowflake. There are many sections, particularly, the one related to micro partitions, which are very tricky, and I could not understand from other courses and SF documentation. This course cleared all my doubts. One suggestion would be to have better volume. The voice was very low in certain sections. Other than that I am very happy with the course.

By Duvan Esteban Zapata Monsalve on 6/23/2024

It was an excellent course. I learned and enjoyed each module, I didn't expect to find so much. Everything was excellent on the part of the tutor and the study flow

By Vivek Wadhwa on 5/26/2024

Liked the stuff But regarding Average Depth , concepts need to be described more. As still i am not clear about Average Depth . Please explain more examples or scenarios. rest of the material and explaination is awesome.

By Stephan Völkl on 10/26/2023

many typos in the slides and some content e.g. athena is a data warehouse solution, is not correct. some uncorrected mistakes on slides/diagrams make it sometimes hard to follow.

By Adedayo Okubanjo on 6/24/2023

This is an amazing course. It covered all the important Snowflake features from the basic features to the advanced features.

By Jesús Daniel Sañudo Rivera on 3/30/2023

A great course to continue learning snowflake after going through the basics. Moreover, the Snowpark practice is really useful.

By Stefan J on 2/7/2023

Ok run through Would be better with one consistent project running through the course Quiz had some errors

By Ettione Stuckey on 11/13/2022

This course is packed full of great information and hands-on labs. The instructor keeps a good pace throughout the course and covers the topics very well. He also corrected an issue I raised as well. In light of that, and the great information shared in this course, you cannot go wrong if you're looking for practical labs & information on Python, SQL, Snowflake, and AWS! Thanks again to the instructor for a wonderful course.

By Mansoor Syed on 7/14/2022

Nice course on both AWS and Snowflake integration. Its combo-pack where you will get to learn both services at a good level. Thanks Siddharth.

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Overall Score : 88 / 100

Snowflake - Build & Architect Data pipelines using AWS
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  • Video Duration: icon 8.8h
  • Price: $84.99
  • Provider: icon Udemy
  • Updated: icon February 2026
  • Level: Intermediate Intermediate
  • Language: icon English
  • Certificate: icon Yes
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