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Exploring Top YouTube Channels for Data Engineering Insights

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In the past year, the YouTube landscape for data engineering has significantly expanded. Initially, discussions in this area were relatively scarce, with most content focusing on data science, algorithms, and machine learning. However, as the demand for data engineering skills has surged, more creators are now sharing valuable insights and knowledge.

This article highlights some excellent YouTube channels that provide resources and tutorials for aspiring data engineers. Let's jump right in!

Zack Wilson

I first encountered Zack Wilson on LinkedIn and eagerly awaited his YouTube channel's launch, which finally happened in late 2021. One of his inaugural videos tackles the question of whether data engineers should learn Scala. He effectively weighs the advantages and disadvantages of Scala, addressing its capacity to facilitate a more software engineering-oriented approach to data pipelines, while also noting the limited job market for Scala-specific roles.

Check out his insightful video here:

Andreas Kretz

Considered one of the original data engineering YouTubers, Andreas Kretz has been producing content on the subject for years. I particularly appreciated his commentary on various companies' data infrastructures last year. His practical expertise shines through in his analysis of Nielsen's AWS architecture, which processes up to 55TB daily. This video showcases impressive use cases for Apache Spark and RDS, as well as AWS Lambda functions and SQS for job management.

Watch his detailed review here:

Darshil Parmar

Darshil has been actively sharing insightful content for the past year, discussing his transition from traditional employment to freelancing in data engineering. His recent video is particularly beneficial for newcomers to the field, where he outlines his journey, essential skills for data engineering, and tips for landing a job.

In his own words:

“How did I become a data engineer? What skills are essential? How can you secure a position in this field?”

He emphasizes the growing need for professionals who can manage and analyze data effectively.

Check out his informative video:

Seattle Data Guy (Me)

As the creator behind the Seattle Data Guy channel, I’ve enjoyed producing videos focused on data engineering, especially for those starting their careers. In the upcoming year, I plan to explore various topics like data infrastructure and tools such as dbt, Trino, and Airflow.

Here's a video where I review some of my favorite books on data engineering, perfect for newcomers:

Karolina Sowinska

Karolina Sowinska has been a consistent presence in the data YouTube community, covering a broad range of topics. She has produced many essential videos on data engineering, including a comprehensive tutorial on Airflow. In her "Airflow for Beginners" video, she demonstrates how to install Airflow from scratch and schedule your first ETL job.

Don’t miss this opportunity to learn:

Mehdio

A newcomer to the YouTube scene, Mehdio brings a fresh perspective on data engineering. Although he has only released a couple of videos, his content is promising. His core video explores the historical context of data engineering and speculates on its future developments.

Watch his intriguing video here:

E-Learning Bridge

Shashank Mishra, a data engineer with experience at Amazon, McKinsey & Company, and PayTm, utilizes his extensive background to create educational content for aspiring data engineers. In his video, he covers crucial SQL topics essential for those preparing for FAANG interviews.

Check it out below:

Bonus - Ken Jee

While Ken Jee typically focuses on data science, one of his recent videos touches on data engineering, earning him a spot on this list. In this video, he examines the increasing demand for data engineers and its implications for data scientists. His insights provide valuable context for understanding current trends in data strategy.

Watch the video here:

Considering a Career in Data Engineering?

After exploring these fantastic channels, you might be wondering if a career in data engineering is right for you. Do you enjoy building data pipelines and automating systems? Are you interested in being the bridge between software teams and analytics teams?

Hopefully, these videos have given you a clearer understanding of what it means to be a data engineer and how to advance your career in this dynamic field. Thank you for reading!

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