Summary
Jose Aguilar is a Data Engineer with 10 years of experience building scalable data pipelines, stream processing, and ML-driven solutions across cloud and on-prem ecosystems. He has delivered production systems for enterprises and research institutions using Spark, Kafka, Flink, Hadoop, and AWS/GCP services, and currently contributes to Google’s data engineering efforts following the Mandiant acquisition. Jose combines strong data management and validation discipline with hands-on work in Python, Scala and NLP, having applied these skills to projects from speech-to-text and search engines to personalization and predictive models. Comfortable translating business requirements into actionable plans, he has a track record of improving pipeline performance and data quality in regulated and high-throughput environments. Based in the Randstad, he blends academic roots in data science with practical delivery for top-tier clients like ASML and major banks, and often operates at the intersection of ML research and production engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Pontificia Universidad Católica del Perú
English, Portuguese, Spanish, Dutch