Listen "#38 - Data Engineering, Career, Mentor and Hands-On Learning with Andreas Kretz"
Episode Synopsis
🎙️ Who is Andreas Kretz?
Andreas Kretz is a Data Engineering expert and founder of LearnDataEngineering.com, where he teaches everything about becoming a Data Engineer or using Data Engineering in current jobs. With over 100,000 engineers and scientists in his network and a private engineering network of over 1000 students, Andreas is a mentor and recruiter for top Data Engineering talent. He has extensive experience in using tools like AWS, GCP, Apache Spark, and Apache Kafka, to name a few, to ingest, process, and store data for Data Scientists, Analysts, or customers to work with.
💡 In this episode...
... we discuss about Andreas's journey into Data Engineering offering tips for those interested in pursuing a career in the field. He emphasizes the importance of mastering fundamental concepts, developing a distinct online presence, and focusing on growth and hands-on learning (get projects in you github!). Andreas also delves into the differences between Data Engineering and Data Architecture, and the cost management challenges faced by start-ups and large organizations. Finally, he addresses the challenges of securing Data Engineering systems and provides advice on how to become a Data Engineer and ensure Data Engineering security.
Andreas Kretz: https://www.linkedin.com/in/andreas-kretz/
Andrea's Academy: https://learndataengineering.com/p/academy
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/
Artistic Direction & Video: Maxence Kerhoas
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Andreas Kretz is a Data Engineering expert and founder of LearnDataEngineering.com, where he teaches everything about becoming a Data Engineer or using Data Engineering in current jobs. With over 100,000 engineers and scientists in his network and a private engineering network of over 1000 students, Andreas is a mentor and recruiter for top Data Engineering talent. He has extensive experience in using tools like AWS, GCP, Apache Spark, and Apache Kafka, to name a few, to ingest, process, and store data for Data Scientists, Analysts, or customers to work with.
💡 In this episode...
... we discuss about Andreas's journey into Data Engineering offering tips for those interested in pursuing a career in the field. He emphasizes the importance of mastering fundamental concepts, developing a distinct online presence, and focusing on growth and hands-on learning (get projects in you github!). Andreas also delves into the differences between Data Engineering and Data Architecture, and the cost management challenges faced by start-ups and large organizations. Finally, he addresses the challenges of securing Data Engineering systems and provides advice on how to become a Data Engineer and ensure Data Engineering security.
Andreas Kretz: https://www.linkedin.com/in/andreas-kretz/
Andrea's Academy: https://learndataengineering.com/p/academy
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/
Artistic Direction & Video: Maxence Kerhoas
Follow Let's Talk AI:
✉️ Newsletter 👉 http://eepurl.com/ijZ8qz
🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/
📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai
📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/
🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/Hosted by Ausha. See ausha.co/privacy-policy for more information.
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