Summary
Manuel Peña is a Senior Lead in Data Platform Engineering with 12 years of experience building scalable data infrastructure and ML-driven analytics across startups and enterprise teams. He has led DataOps and platform squads to redesign data architectures, CI/CD pipelines, and data quality strategies using tools like BigQuery, Snowflake, Airflow, dbt, Terraform and Spark. Comfortable both as a hands-on engineer and a strategic advisor to C-level stakeholders, he has implemented production NLP and image-processing systems and championed company-wide Python standards. His background blends an M.S. in Industrial Engineering with a Master in International Management, giving him a rare mix of technical depth and business acumen. Based in Spain, he also teaches data science and has repeatedly owned end-to-end infrastructure for real-time and batch analytics, favoring pragmatic, scalable solutions.
12 years of coding experience
12 years of employment as a software developer
Data Science Program, Data Science, Data Science Program, Data Science at General Assembly
M.S. in Industrial Engineering, Product Design, M.S. in Industrial Engineering, Product Design at University of Massachusetts Amherst
Master in International Management (Top 10 world Business School), Business, Master in International Management (Top 10 world Business School), Business at IE Business School
Universitat Politècnica de València
Spanish, English, French