Tobias Macey, the Joe Rogan of the data engineering scene interviewed Daniel in the Data Engineering Podcast. Give it a listen right here!
Tobias’ summary of the insightful conversation in episode #151:
“Data engineering is a constantly growing and evolving discipline. There are always new tools, systems, and design patterns to learn, which leads to a great deal of confusion for newcomers. Daniel Molnar has dedicated his time to helping data professionals get back to basics through presentations at conferences and meetups, and with his most recent endeavor of building the Pipeline Data Engineering Academy. In this episode he shares advice on how to cut through the noise, which principles are foundational to building a successful career as a data engineer, and his approach to educating the next generation of data practitioners. This was a useful conversation for anyone working with data who has found themselves spending too much time chasing the latest trends and wishes to develop a more focused approach to their work.”
About the host and the show (taken from the website of the podcast):
“Tobias Macey is a dedicated engineer with experience spanning many years and even more domains. He currently manages and leads the Technical Operations team at MIT Open Learning where he designs and builds cloud infrastructure to power online access to education for the global MIT community. He also owns and operates Boundless Notions, LLC where he offers design, review, and implementation advice on data infrastructure and cloud automation.”
“The Data Engineering Podcast tackles a new approach to data management every week. Each new episode provides useful and informative insights into the projects, platforms, and practices that data engineers, team leaders, and data scientists need to know about to learn and grow in their career.”
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