Summary
José Espinosa is a Lead Data Engineer based in Berlin with over a decade of experience architecting cost-efficient, serverless data platforms and building high-performing teams. He has repeatedly transformed slow, expensive pipelines into fast, low-cost systems—e.g., cutting export times from 25 hours to 3 minutes and reducing monthly infra costs from $12k to $1k—by leveraging AWS, Postgres, Snowflake, Spark, and orchestration patterns. Comfortable moving between hands-on engineering, ML model deployment, and technical leadership, he has founded data teams, led global initiatives like PayU's Data HUB, and mentored engineers across continents. His background in physics fuels a methodical approach to complex data problems and a habit of publishing practical insights (such as on serverless data engineering) for the community. Pragmatic, metrics-driven, and entrepreneurially minded, he combines startup grit—having launched and scaled educational platforms—to deliver durable data products that inform business decisions.
10 years of coding experience
14 years of employment as a software developer
Licenciado en Física Astronomy, Licenciado en Física Astronomy at Universidad Distrital Francisco José de Caldas
English, Spanish