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— Data Engineering

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About

Hello, I’m Christian Herrera Jiménez, a passionate Data Engineer with over five years of experience in transforming the data landscape. I currently work at Adevinta Spain, a leading online marketplace company that operates in 16 countries and reaches more than 1.5 billion people every month.

At Adevinta Spain, I’ve contributed to the development and maintenance of a cutting-edge data platform that facilitates data access, collaboration, and innovation across the organization by designing a cost-efficient data architecture. I have implemented a ‘Data Mesh’, a decentralized data architecture that empowers different teams to own and share their data domains, ensuring quality, governance, and privacy standards.

My passion is to act as a catalyst for change and an innovator in the field of data engineering. I am always eager to learn new technologies, explore new frontiers, and collaborate with other data enthusiasts. My goal is to create data products that are not only robust and reliable but also impactful and meaningful for the users and society.

**Why I Created www.bigdatos.com**

My motivation for creating this blog is to share my learnings and experiences in the data engineering field. I envision this space as a meeting point to discuss relevant topics with the data engineering community, launch courses, stay up-to-date with important news, conduct interviews, and, above all, showcase a lot of code.

I see www.bigdatos.com as a platform to connect with people who share the same passion for data, to explore together the latest trends and technologies in this field. I want this blog to be a valuable resource for those looking to deepen their knowledge in data engineering, as well as for those just starting their journey.

I invite everyone to join this community, share your experiences, challenges, and successes. Together, we can create the future of data, learning from each other and building innovative solutions that have a real impact on the world.

Let’s connect and create the future of data together.