Summary
Florent Moiny is a Senior Resident Solutions Architect at Databricks with a decade of experience helping Fortune Global 500 companies design and operationalize data architecture, engineering, and ML solutions. He has a strong academic foundation in mathematics, probability and statistics from Pierre and Marie Curie University, which underpins his practical work scaling ML workflows and reducing model training times by orders of magnitude. At Adot he built production ML and real-time systems from scratch—implementing HyperLogLog/MinHash in SQL, simplifying complex Beam/TFX pipelines, and shipping cross-device user identification models that changed product strategy. Known for translating research into production, he has taught Spark at Télécom Paris and led training at Data+AI Summit Europe, blending hands-on engineering with clear knowledge transfer. Based in Amsterdam, he pairs deep technical fluency (Spark, Scala, Python, AWS) with a knack for pragmatic simplification that prevents costly rewrites and accelerates business impact.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Statistics, Master of Science (MSc) Statistics at Pierre and Marie Curie University
French, English