
Fernanda Gomes
Verified Expert in Engineering
Data Engineer and Developer
Florianópolis - State of Santa Catarina, Brazil
Toptal member since May 28, 2026
Fernanda brings 9+ years of experience building data platforms, analytics pipelines, and AI-driven solutions. With a PhD in computer science, she has worked with global clients across sports and entertainment, including Formula 1, European football leagues, talent agencies, and sports organizations. Proficient in BigQuery, dbt, PostgreSQL, and large-scale data integration, she delivers reliable, high-impact solutions. Her academic background includes research in privacy risk and fraud detection.
Portfolio
Experience
- SQL - 12 years
- PostgreSQL - 12 years
- Python - 7 years
- Data Analysis - 6 years
- BigQuery - 6 years
- Looker - 3 years
- Data Build Tool (dbt) - 3 years
- Metabase - 2 years
Preferred Environment
BigQuery, Data Build Tool (dbt), PostgreSQL, Python, GitHub, Cursor AI, DataGrip, Looker, Metabase, Google Cloud Platform (GCP)
The most amazing...
...project I've helped build was a company and people intelligence platform used by Formula 1, European football leagues, and major US sports organizations.
Work Experience
Data Engeneer
CRED
- Built and maintained large-scale data pipelines integrating company and people data from multiple external sources using BigQuery, dbt, Python, and PostgreSQL.
- Developed dbt models to standardize company, person, financial, social, and web traffic data for analytics, search, and client-facing products.
- Improved data quality by investigating pipeline failures, fixing broken transformations, and validating inconsistent records across multiple data sources.
- Optimized complex SQL and BigQuery models to support large datasets, reduce processing issues, and improve the reliability of production data tables.
- Implemented matching and deduplication logic for company and person.
- Supported client-facing data deliveries for sports, entertainment, and investment clients by preparing enriched datasets with data.
- Documented data pipelines, field mappings, and integration processes to improve maintainability and support collaboration across engineering and data teams.
- Collaborated with product, engineering, and client-facing teams to clarify data requirements, investigate quality issues, and deliver actionable data improvements.
- Contributed to the design of scalable data integration workflows for new sources, including entity classification, field mapping, and downstream pipeline coverage.
Researcher
Computer Security Laboratory - LabSec
- Conducted research on data privacy, privacy-risk assessment, and trajectory analysis using large-scale datasets.
- Worked on anomaly detection methods for fraud prevention in the Brazilian Governmental Public Key Infrastructure.
- Coordinated research activities for an international fraud detection project involving Brazilian and UK institutions through the Newton Advanced Fellowship provided by the Royal Society and the University of Essex.
Software Developer
e-Tec Brasil
- Developed Jakarta EE web application features using PrimeFaces, Hibernate, and PostgreSQL in a monolithic architecture.
- Implemented back-end logic and database integrations to support core SaaS platform functionality.
- Applied test-driven development practices using JUnit and Selenium to improve reliability and maintainability.
Database Analyst
Neoway Business Solutions
- Developed and optimized PostgreSQL queries for large-scale business intelligence datasets.
- Supported analytical data modeling initiatives used to organize and structure business data.
- Improved query performance and data accessibility for internal analytics and reporting workflows.
Software Developer
Computer Security Laboratory
- Contributed to SAEC-ICPEdu, an automated certificate issuance platform integrating federation data sources.
- Developed and maintained features for a digital certificate management system using PHP and Zend Framework.
- Supported web application maintenance for systems related to digital certificates and public key infrastructure.
Experience
Large-scale Data Integration and Entity Matching Platform
Education
PhD in Computer Science
University of Pisa - Pisa, Italy
Master's Degree in Computer Science
Federal University of Santa Catarina - Santa Catarina, Brazil
Bachelor's Degree in Information Systems
Federal University of Santa Catarina - Santa Catarina, Brazil
Skills
Libraries/APIs
OpenAI API
Tools
BigQuery, Looker, GitHub, DataGrip, Claude, Git
Languages
SQL, Python, Java, PHP
Storage
PostgreSQL, Data Integration, Data Pipelines, Elasticsearch
Paradigms
Business Intelligence (BI), ETL, Test-driven Development (TDD), Agile, Object-oriented Programming (OOP)
Frameworks
Entity, Selenium, JUnit, Hibernate, PrimeFaces, Zend Framework
Platforms
Google Cloud Platform (GCP), Docker, Amazon Web Services (AWS), Java EE (Jakarta EE)
Industry Expertise
Scientific Research, Cybersecurity
Other
Data Build Tool (dbt), Data Analysis, Data Analytics, Data Engineering, Metabase, Cursor AI, Privacy-preserving Systems, LLM Integration, Research, Big Data, Critical Thinking, Problem Solving, Technical Presentations, Machine Learning, Algorithms, Methodology, Information Security, Database Deduplication, Data Quality, Data Modeling, Opus, Web Development, Infrastructure, Digital Certificates, Risk Assessment, Fraud Detection, Data Privacy, Query Optimization, Algorithmic Trading Analysis, Distributed Systems, Artificial Intelligence (AI), Team Collaboration, Software Architecture, Operating Systems, Computer Science, Software Engineering
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