Summary
Marcio Simões is a bilingual Data Engineer with a BSc in Applied and Computational Mathematics from UNICAMP and a decade of experience building data pipelines, ETL systems, and cloud migrations for large enterprises. Currently contributing to Santander’s Open Finance Brazil project, he specializes in moving legacy HDFS/Hive workflows to Databricks and implementing both batch and streaming ingestion with Azure Data Factory, Kafka/EventHub, and CosmosDB. His background blends rigorous mathematical training with hands-on software development—he built a Python deep learning framework for medical image analysis achieving 99.58% accuracy—and he routinely automates production Airflow pipelines on AWS and GCP. Passionate about open data and AI, Marcio pairs pragmatic engineering with a continuous-learning mindset and a knack for extracting insight from messy, large-scale datasets.
10 years of coding experience
2 years of employment as a software developer
Course, English Language Course, Course Certificate, Course, English Language Course, Course Certificate at Erin School Of English
Bachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Universidade Estadual de Campinas
Escolas Técnicas Estaduais
Portuguese, English, Spanish