Achievements:- Reduced costs by 75% by developing a new ETL and data ingestion pipeline on AWS, including data quality.- Delivered reports 32x faster by implementing an automated tool that generates custom reports. - Implemented a pipeline for automatic inclusion of analysis notebooks into a portal with authentication, connected to the Jira API.- Developed a Python package to be used as a tool kit for analysis.Context:Work at Bemobi, which provides an end-to-end customer engagement platform (SaaS) in payment solutions for Telecom, Utilities, and other industries, as a member of the fraud-prevention team, responsible for maintaining the ETL and data ingestion process, and developing tools used by data analysts.Technologies:- Apache Airflow- Python- SQL- Apache Spark- AWS (EC2, S3, SES, Lambda, EC2, Fargate, Cognito)- GCP- DockerActivities:• Develop and maintain a comprehensive ETL and data ingestion pipelines on AWS, by using Airflow and Spark, for Bemobi's fraud prevention team, efficiently processing over half a million transactions daily with opsgenie integration for alert management.• Developed and implemented an automated reporting solution that schedules, generates, processes, and delivers customized reports, which are also available on a centralized page with user access control.• Developed and maintained CI/CD pipelines using Terraform (IaC)• Maintains a custom docker image used in our analyses• Developed a Private Python package, completely integrated into our custom docker image and pipelines.• Responsible for the integration of new products into our fraud platform

Achievements:- Reduced fraud losses by 77% by developing targeted reports and analyses that guided strategic decision-making.- Developed multiple interactive dashboards in Tableau, enhancing data visualization and enabling more informed decision-making.Context:Member of Bemobi’s fraud-prevention team, being responsible for developing custom reports and analyses focusing on fraud reduction, building dashboards in Tableau, and integrating new products into our fraud platform.Technologies:- Python- SQL- Jupyter Notebook- Pandas- Numpy- Matplotlib- Apache Spark- Docker- TableauActivities:• Creates several reports for Bemobi's fraud prevention team, utilizing Jupyter Notebooks and libraries like Pandas, Numpy, and Matplotlib.• Developed multiple interactive dashboards in Tableau, enhancing data visualization and enabling more informed decision-making.• Responsible for the integration of new products into our fraud platform• Maintains a custom docker image used in our analyses

Achievements:- Reduced time by 90% by creating an automation system, in Python, for the delivery of video streams- Participation in planning Major Events such as the World Cup, Carnival, New Year's Eve, Brazilian Football, and Rock in Rio.Activities • Led projects involving data analysis, implementation, and process automation • Automation of manual trigger equipment using ETL and RPA tools • Creation of Dashboards • Collecting and analyzing data to support informed decision-making and improve operational efficiency.Context:Leadership in modernizing the production structure of journalism for the largest media conglomerate in Latin America, analyzing current negative points and implementing improvements to enhance the interaction between technology and journalism. Key activities include projects, technical leadership, data analysis, operation, and support