Data Engineer | Data Scientist | Analytics Engineer
About Me
I am a data engineer and analytics professional with more than 6 years of experience across ETL development, data automation, catalog operations, and commercial analytics in e-commerce and retail.
I have worked on data-driven analysis of commercial categories, helping teams make better business decisions and improve campaign performance. I have also coordinated with cross-functional stakeholders to align execution with commercial strategy.
My background includes building robust ETL workflows, integrating high-volume data from multiple sources, and streamlining catalog imports so data becomes available faster for planning and operations.
I have developed analytical tools and dashboards in SQL and Power BI to track KPIs, monitor catalog quality, and support commercial decision-making. I also build Python and SQL pipelines for ingestion, validation, alerting, and web scraping.
In my current role, I own the end-to-end data management lifecycle for product catalog data, focusing on completeness, accuracy, and operational efficiency. I also collaborate on product roadmap priorities and internal tooling to reduce repetitive work.
My academic background includes Economics, Business Analytics, and Data Science, with an MSc in Management and ongoing studies in Engineering and Data Science. I speak Portuguese, English, and Spanish, and I enjoy applying data engineering and analytics to solve real business problems.
Skills
PythonSQLStakeholder ManagementMachine LearningGitGitHubSQL ServerData Automation
Education
Master's in Engineering and Data Science
In progress.
MSc in Management, specialization in Business Analytics
Thesis: 'Determinants of a Successful Initial Coin Offering (ICO)'. Research exchange at The Irish Centre for Cloud Computing & Commerce (IC4), Dublin City University.
BSc in Economics
Erasmus+ Mobility Programme
Experience
Own end-to-end data management lifecycle for the product catalog, driving completeness and accuracy across all SKUs. Build and maintain Python/SQL data pipelines, including automated ETL ingestion, validation, alerting, and web scraping workflows. Design and maintain Power BI dashboards and automated reports for Sales and Operations teams. Collaborate with engineers and stakeholders to define and prioritise product roadmap features. Develop internal tooling to automate repetitive data operations and improve throughput.
Led data-driven analysis of key commercial categories to support business decisions and improve campaign performance. Coordinated cross-functional stakeholder alignment to ensure execution of commercial strategy. Led development of robust ETL workflows integrating high-volume data from disparate sources. Developed analytical tools and dashboards in SQL and Power BI to track KPIs and inform commercial strategy.
Designed and executed end-to-end automated ETL pipelines using Python and SQL, reducing manual data validation efforts and ensuring 99%+ catalog data integrity. Engineered data-scraping and automated monitoring tools in Python to track catalog completeness. Collaborated cross-functionally with sales to optimize data-driven commercial strategies.
Analysed and controlled key commercial categories, supporting data-driven commercial decisions. Built data analysis tools and contributed to operational tooling to improve planning processes.