Luis Osa is a Senior Data Engineer based in Stockholm with 14 years of experience building and scaling data products for high-growth tech and telecom companies. At Spotify he leads the teams that compute the company’s investor-facing key metrics—like MAUs and subscriber counts—and previously scaled those metrics from 10 to 40 while cutting costs by 90%. His background spans hands-on machine learning, real-time monitoring DSLs, and large-scale pipeline migrations (Scio) that supported 30+ million users and 100+ market launches. Earlier roles include building Hadoop SaaS platforms at Telefónica and pioneering recommendation and NLP-driven ad targeting for European social networks. He combines deep research instincts (STM design during doctoral work) with pragmatic engineering practices, often turning experimental models into production services. Known for optimizing both technical architectures and business-critical metrics, he thrives where reliable analytics meet strategic decision-making.
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