Summary
Ester Lorente is a Data Engineer with a decade of software experience and a strong academic foundation—BSc in Computer Science, MSc in Data Science, and a PhD (cum laude) in Statistics and Operations Research from UPC. She has eight years focused on transport systems—traffic simulation, algorithm design and optimization—and the last two years building retail big-data pipelines, ETL, and APIs using Python, Spark, Databricks, Airflow, Terraform and Kubernetes. Her industrial PhD blended research and product delivery (dispatcher implementation in C# with Gurobi-backed optimization) and reflects a practical talent for turning simulation and optimization research into production software. A creative problem-solver, Ester has competed in 15+ hackathons, winning 12, and developed the CitScale Analytics tool that contributed to a Dona TIC award. Based in Barcelona, she combines rigorous quantitative modeling with hands-on cloud and data engineering to bridge research-grade algorithms and scalable data platforms.
10 years of coding experience
8 years of employment as a software developer
Visiting Scientist, Algorithmic group, Visiting Scientist, Algorithmic group at Karlsruhe Institute of Technology (KIT)
UPC Universitat Politècnica de Catalunya