Data Engineer – OWSE - Brazil
Hybrid - June 2025 to October 2025

• Returned now as a contractor.
• Performed business rules analysis and dimensional data modeling to support data warehouse design and project requirements.
• Managed team routines by creating milestones, issues, and tasks for our three main clients, ensuring better workflow visibility and delivery tracking.
• Developed data pipelines using Apache Hop, handling data extraction, transformation, and loading processes.
• Created and maintained Python-based RPAs (Robotic Process Automation) to automate repetitive tasks and reduce manual workload.

BI Consultant (Freelancer) – Global Digital Community - Scotland, UK
Remote – April 2024 to July 2025

• Designed and implemented data models and ETL processes in SQL for relational databases, leveraging BI methodologies to optimize data management and analysis.
• Developed interactive Power BI dashboards tailored to business needs, translating database models into actionable insights for stakeholders.
• This was my first international experience.

Analytics Engineer – Raízen - Brazil
Remote - 10-month experience

• Refactored and optimized an automated scheduling monitoring system for transportation trucks, significantly enhancing business team visibility. This improvement boosted goal achievement tracking from 0% to 55%, turning the process from a blind scenario into actionable insights.
• Redesigned a contract management project after identifying critical errors, collaborating with stakeholders to analyze business rules. Delivered a highly accurate dbt-based solution with 97% precision compared to the previous implementation, significantly reducing cloud costs.
• Implemented and managed automated workflows using Apache Airflow. Developed complex data pipelines using Python, PySpark, SQL, and dbt for Azure Data Lake environments.
• Conducted business analysis to identify data-driven opportunities that enhanced revenue and profitability.
• Collaborated on cross-functional projects using Git/GitHub for version control and Jira for agile project management (SCRUM), ensuring efficient communication and timely delivery.
• This was a great company to work for; however, due to management failures, I was laid off along with 15,000 other employees.

Data Engineer – Accenture - Brazil
Remote - 7-month project

• Initially joined with the expectation of a long-term project, but the client did not renew after seven months.
• Despite the short duration, it was a valuable and insightful experience.
• It marked the moment when I officially transitioned into the Data Engineer role (even though I had already been performing similar tasks previously).
• Worked on a major migration project involving 10,000 data pipelines within a Hadoop ecosystem running on Cloudera machines.

BI Analyst – OWSE - Brazil
Hybrid - 1.5 years, 4 promotions

• Joined as a Trainee BI Analyst and received four promotions over 18 months.
• Worked daily with SQL across various relational databases, such as:
  • SQL Server
  • Sybase
  • Oracle
  • PostgreSQL
• Used ETL tools like Pentaho Data Integration and later Apache Hop.
• Created and maintained SQL procedures, built indexes, and applied optimization techniques for data ingestion and transformation.
• Worked with agile methodologies, version control using Git (GitLab), and CI/CD pipelines with Jenkins.
• Monitored and improved data pipelines and monitoring using Grafana, reducing long-running processes from days or hours to minutes.
• Supported analysts by maintaining Power BI dashboards and creating new ones from scratch based on client requirements.

Business Intelligence Intern – SPIRIT (Premium Ceiling Fans Manufacturer) - Brazil
Hybrid - 6-month internship

• Took over the responsibilities of the former Business Analyst after a 3-month training period with him.
• Generated a variety of business reports, including:
  • Employee reports (salaries, benefits, taxes, etc.)
  • Sales performance reports
  • Defective product reports
  • Delivery reports for Uber Flash (from physical stores, often for short-distance deliveries)
  • Credit card transaction reports
  • Predictive reports for high-volume sales periods (e.g., Black Friday)
• Reproduced and visualized some of these reports using Power BI.
• Collaborated with the IT team to explore data-driven solutions for the company.
• Advocated for Business Intelligence adoption across departments, helping others understand its purpose and value.
• Despite the company’s lack of interest in BI at the time, the experience was highly valuable and exposed me to real-world business challenges that go beyond technical training or online courses.