CV

Last updated: Jun 2025

Work Experience

• Data Engineer – Leega
  Feb 2024 – Present
  • Conducted data maturity assessments for clients, identifying areas for improvement
  • Built and automated ETL pipelines for data ingestion, transformation, and loading
  • Participated in internal projects and developed custom data solutions using Databricks, GCP, BigQuery, Cloud Composer, Cloud Storage, Dataproc and Terraform.
  • Designed scalable data transformations with Python and PySpark
  • Worked with cloud platforms such as Databricks, GCP and AWS
• Business Analyst – Trier Sistemas
  Aug 2024 – Jan 2025
  • Involvement in the development of system modules, such as goods receipt and agreements, from requirements definition and prototyping to technical follow-up with the development team;
  • Execution of User Acceptance Testing (UAT) to ensure the software met the defined requirements;
  • Gathering requirements from external clients to identify needs and propose system improvements;
  • Analysis of business processes, identifying bottlenecks and proposing solutions to optimize operational efficiency.
• Data Analyst – PraJá Digital
  May 2023 – Jul 2024
  • Creation of reports and dashboards;
  • Application of predictive analysis and consumer behavior studies to guide strategic planning and budget allocation;
  • Monitoring and optimization of KPIs such as CAC, ROI, conversion rates, and engagement to maximize return on investment;
  • Development of analytical databases by ingesting data from Google Ads, Meta Ads, Google Analytics, and CRM systems, using spreadsheets, APIs, and automation to ensure data integrity and standardization.

  Education

• Technical Degree in Systems Analysis and Development (in progress)
  Pontifical Catholic University of Paraná (PUC/PR), Brazil
  Jan 2024 – Jul 2026 (expected)

• B.Sc. in Business Administration
  Faculdade Bagozzi, Brazil
  Jan 2012 – Dec 2015

Languages

• English: B2 (Upper-Intermediate)

Certifications

• Databricks Data Engineering Associate
  Valid until: June 21, 2027 Certified Link

• Data Engineering – Santander
  ADA Tech, Jun 2024 – Dec 2024
  Focused on key tools and technologies in Data Engineering, including Python (NumPy, Pandas), PySpark, Databricks, Kafka, and ETL/ELT processes. Developing hands-on skills in handling large-scale data, pipeline optimization, and analytical decision-making.

• Communication and Public Speaking – Communicating with Assertiveness
  Conquer, 2022
  Focused on verbal and non-verbal communication, clear expression of ideas, and effective presentation techniques.

Skills

• Programming Languages: Python, SQL
• Data Libraries: Pandas, NumPy, PySpark
• Cloud Platforms: AWS, Google Cloud Platform (GCP)