Diego Mayer is a Data Engineer with eight years of professional experience and a track record of delivering end-to-end data platforms and ML solutions for the insurance sector. Combining over 15 years of ERP, business analysis, and team leadership background, he bridges domain knowledge with cloud-native engineering on AWS and GCP, having implemented Medallion architectures, data lakes, warehouses, and governance. He builds production ELT/ETL pipelines, deploys models with SageMaker and Lambda, and automates document OCR and feature extraction to drive measurable cost savings—one probability model cut annual losses by more than R$1M. Comfortable across Python, SQL, R, and visualization tools, he also mentors juniors and applies Lean/Kanban practices to scale delivery. Currently pursuing advanced degrees in Big Data and Data Science, he combines practical impact with ongoing academic growth, making him adept at turning operational data into strategic decisions.
8 years of coding experience
Master's degree, Big Data and Analytics, Master's degree, Big Data and Analytics at ENEB - Escuela de Negocios Europea de Barcelona
Master's in Engineering, Data Science, Master's in Engineering, Data Science at Universidade Estadual do Oeste do Paraná
Higher Education Technological Degree, Business, Higher Education Technological Degree, Business at Univel University Centre
ETL for data collection from API and loading to database
Contributions:4 PRs, 20 pushes, 2 branches in 1 year 2 months
apisqletldatabasedata-warehouse
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