Data Engineering · Cloud · Madrid

Technical notes, in English. without noise

I'm Edu. I write about architecture decisions in Data Engineering and Cloud — the trade-offs tutorials skip, and what production teaches you when there's no going back. No paywalls, no trackers.

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Disposable LLM tools: when to build and when not to

Three tools built with an LLM and boto3 on AWS, and why only one was worth it. A practical criterion for deciding what to build.

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About me
Edu González

Data Engineer in Madrid. Financial sector consulting with Apache Spark and ETL at scale. Write to me at edunavata@gmail.com or check the code on GitHub .