Summary
Lorenzo Coacci is a data engineer with 8 years of experience building scalable data platforms and automation for both high-growth startups and Amazon, currently maintaining global EMR clusters that process terabytes of advertising data weekly. He blends an MS in Applied Statistics and a BS in Physics with deep AWS expertise—Spark, Glue, S3, Athena, SageMaker and CDK—to design data lakes, reduce operational toil, and enable ML workflows. At Amazon he delivered executive-facing dashboards and infrastructure that cut engineer ticket intake by 80% and saved hours of weekly productivity across teams. Previously he led engineering and data science efforts at Superbolt, migrating Airflow, automating dashboards, and deploying robust ELT pipelines that turned 12-hour processes into 30-minute workflows. Pragmatic and curious, Lorenzo pairs quantitative rigor with product-minded automation, and has a track record of shaving routine tasks from hours to minutes.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Università di Pisa
Master of Science - MS Applied Statistics and Decision Making, Master of Science - MS Applied Statistics and Decision Making at Fordham Gabelli School of Business
English, Italian, French