From Medical Doctor to Data Engineering Pro

Andreas Kretz
Plumbers Of Data Science
3 min readMay 16, 2023

A Tale of Embracing the World of Data

Meet the students of the Learn Data Engineering Academy — a group of passionate individuals who are dedicated to mastering the art of data engineering. In this mini series of success stories, we will explore the journeys of these students, from their initial interest in data engineering to their current success in the industry. Join us as we celebrate their achievements and inspire others to pursue their dreams in the world of data engineering.

Despite starting his career as a Medical Doctor in Argentina, Santiago Caraballo has proven himself to be a passionate and enthusiastic technologist. He has a keen interest in exploring innovative solutions, always eager to stay up-to-date with the latest advancements in the field. Now, Santiago works as a Data Engineer in an IT consulting company where he excels in conceptual data design, BigQuery, and Dataflow.

When he delved into data engineering, it seemed to him a daunting task keeping up with the latest technology advancements and finding the right educational material to focus on.

“With new releases and tools constantly emerging, it can feel like a challenge to keep up with everything. Cloud technology, in particular, is evolving at an unprecedented pace, making it easy to feel overwhelmed and uncertain about where to focus your attention.”

Investment in professional development

Because of that, Santiago appreciated the Learn Data Engineering Academy for its carefully structured curriculum. He also values the opportunity to participate in office hours with Andreas, where he can discuss real-life scenarios and emerging technologies with someone as knowledgeable and experienced as Andreas. He considers this personalized attention and support to be truly invaluable and believes that it has made his subscription to the academy feel like an incredible investment in his professional development. Beyond that, the course material was very convincing to him.

“I have found the course material to be incredibly valuable — it is well curated and presented in a way that is easy to understand. As someone who comes from a different field, I sometimes struggle to grasp theoretical concepts despite having experience with practical applications. That being said, I even have found the theoretical courses to be very enjoyable and informative. Especially the section on data modeling has been a highlight for me, as Andreas provides key insights on how to think beyond the surface-level requirements and build data models that truly meet the needs of the organization.”

Equipped for the real life through practical examples

In the end, the courses helped Santiago to consolidate his knowledge and feel more confident in defending his ideas to clients. He found them particularly helpful in understanding how to design and implement pipeline architectures that meet business requirements. The practical examples and real-world scenarios covered in the training material made him better equipped to answer client questions and make informed decisions about how to best approach each unique situation.

Overall, Santiago is thrilled with the progress he has made through the training and highly recommends it to anyone looking to take their data engineering skills to the next level. The comprehensive curriculum, personalized coaching, and supportive community have truly exceeded his expectations.

Start your own journey

We hope you got inspired by Santiago’s journey. Now the big question for you is: are you ready to start your very own Data Engineering success story? Then join our Learn Data Engineering Academy today!

If you are interested, but still have a few burning questions on your mind: feel free to contact me via hello@learndataengineering.com or mention me on Twitter.

For more information and content on Data Engineering, also check out my other blog posts, videos and more on Medium, YouTube and LinkedIn!

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Andreas Kretz
Plumbers Of Data Science

Data Engineer and Plumber of Data Science. I write about platform architecture, tools and techniques that are used to build modern data science platforms