Responsibilities:- Act as lead data engineer to understand, prioritize and plan data analysisrequired by different business teams;- Build ETL jobs using PySpark to run on AWS EMR environment;- Establish a data infrastructure running Airflow and EMR;- Establish a CI/CD pipeline to deploy ETL jobs on Airflow;- Deploy and maintain Apache Superset as main BI tool.Key accomplishments:- Established the data platform, including ETL tools, database and BI;- Started a data team from scratch to empower company decisions, reduceoperational costs and errors on manual reports;- Delivered the distribution analysis of a main KPI, showing how the databasewas inconsistent due to error on input or outdated information.

Responsibilities:- Acted as tech lead interfacing with the product team to understand, prioritizeand plan features for web applications;- Developed full stack applications using Ruby on Rails;- Management, evolution and monitoring of software infrastructure on AWS;- Developed mobile applications using React Native.Key accomplishments:- Migrated web applications infrastructure from virtual machines on AWS to acontainer environment using Elastic Container Service, reducing cost in about20%

Responsibilities:- Development of ETL pipelines using Python;- Management of on premise infrastructure running Kubernetes;- Development of APIs using Nodejs and Python;- Development of Jupyter Notebooks for data analysis;- Creation of data analysis dashboards using Metabase;- Development and deploy of machine learning models.

- Development and Maintenance of web applications using Django;- Development of APIs;- Development of CI and CD pipelines;- Standardization of development environment using Docker.