Data Engineer at Rede D'or Hospitals
São Paulo, Brazil
#OpenToWorkI am a Data Engineer with over five years of experience, most recently working at Rede D’Or since March 2024. My work spans data engineering roles involving ETL development, data warehousing, and dashboard creation across multiple industries including healthcare and finance. My expertise includes Python, PySpark, and Azure Databricks, which I use to build scalable data pipelines and automate data extraction from APIs. I have implemented data warehouse migrations using Domo and developed machine learning models with MLFlow to predict customer churn. I also have experience managing data integration for Power BI dashboards and ensuring data quality and availability in cloud environments.
Data Engineer
REDE D’OR
● Created Azure Databricks notebooks for data manipulation and movement using PySpark and SQL. ● Managed and updated dozens of pipelines in Azure Data Factory. ● Ensured proper operation of company systems by managing database connections with Salesforce.
SMILINK
● Successfully implemented Domo as the company's primary Data Warehouse, ensuring data integrity during migration from Microsoft Azure to Domo. ● Developed ETLs to collect relevant data across various company areas, unifying databases to create a single Patient Journey dashboard, enhancing decision-making processes. ● Used Python scripts to extract data via APIs, automating report import/export tasks, saving significant time and reducing manual effort by 2 hours daily. ● Integrated diverse data sources (e.g., client planning, sales, production, logistics, and partner information) into the company's Business Intelligence framework, providing critical insights for leadership. ● Led the transformation of company reporting from manual work to a complete, automated structure.
DNC
● Led a Data Science project in the real estate sector, developing classification Machine Learning models to predict churn. Utilized MLFlow for model management and deployment, achieving an F1 score of 80%.
Siegen Consultoria Financeira
● Collected, organized, and cleaned data to produce weekly reports, regularly presenting to client company partners and Siegen team members, demonstrating effective communication skills. ● Delivered reports with a 98% completion rate. ● Promoted from Trainee Analyst to Junior Analyst.
Data Science
Finance
Bachelor’s · Economics
IBM
