In this episode of The Data Engineering Show, the bros sit with Daniel Pálma, Head of Marketing at Estuary.

Join them as they;

Talk about Daniel’s career transition from data engineering to marketing and how his background in data engineering has been a tremendous help to his marketing competence.
Discuss the role of AI in the evolution of data movement ensuring a faster and easier process of creating data pipelines.
Shine light on the challenges of vector databases and structured data in AI applications.
Delve into the future of Apache Iceberg and data lakehouses, highlighting their current challenges.
Shares insights on the golden age of data expressing the need for more data engineers, data analysts and data practitioners in the data space.

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Daniel Pálma serves as Head of Marketing at Estuary, bringing a unique blend of technical expertise and marketing acumen to the data integration space. With nearly a decade of experience as a data engineer across startups, enterprises, and consulting roles, Daniel made a strategic pivot to marketing to help bridge the gap between complex technical solutions and their practical applications for data practitioners. His background in data engineering enables him to deeply understand the customers' challenges and create authentic, education-focused marketing content that resonates with technical audiences. Daniel’s thought leadership and content creation in the data engineering space, combined with his hands-on technical experience, positions him as a valuable voice in conversations about the evolution of data infrastructure and integration technologies.

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Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.

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