José Serrano
Big Data Tech Lead
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolJosé Serrano is a seasoned AI and data platform leader with 11+ years at Stratio designing and shipping enterprise-grade data products from real-time Spark engines to a full Generative AI Data Fabric. As Head of AI & Data Platform he blends hands-on engineering—he still codes daily and uses AI coding agents full-time—with product strategy, owning roadmap, architecture and a 15‑engineer team. He built a low-code ETL/streaming platform, end-to-end MLOps with MLFlow, a LangChain-powered “Talk to Your Data” semantic interface, and an agentic AI platform with MCP servers and sandboxed Kubernetes execution. An early adopter and builder of AI coding agents and custom skills, he led a productivity transformation that materially changed how his team ships software. Comfortable evaluating and deploying frontier LLMs as well as operating lightweight on-prem models, he bridges research, tooling and production hardening. Based in Madrid, he pairs deep distributed-systems roots with pragmatic product leadership to turn complex AI workflows into usable, governable enterprise features.
11 years of coding experience
9 years of employment as a software developer
Ingeniero Técnico Informática de Sistemas, Ingeniería informática, Ingeniero Técnico Informática de Sistemas, Ingeniería informática at Universidad de GranadaExperto en Big Data., Experto en Big Data. at U-Tad. Centro Universitario de Tecnología y Arte Digital
English, French
Github Skills (51)
spark-sql10
spark10
data-pipelines10
big-data10
kafka10
spark-streaming10
analytics10
scala10
sparta10
sdk10
stream-processing10
streaming-data10
streaming10
rabbitmq9
receiver9
Programming languages (3)
Github contributions (5)
compae/SparkStreamingStateful
Apr 2016 - Oct 2017
Contributions:6 commits, 6 pushes, 1 branch in 1 year 6 months
Stratio/sparta
Mar 2015 - Oct 2019
Real Time Analytics and Data Pipelines based on Spark Streaming
Contributions:2 releases, 641 commits, 560 PRs in 4 years 7 months
real-time-analyticsstream-processinganalyticsstreaming-dataspark-sql
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