Fernanda Gomes, Developer in Florianópolis - State of Santa Catarina, Brazil
Fernanda is available for hire
Hire Fernanda

Fernanda Gomes

Bio

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

CRED
Data Build Tool (dbt), BigQuery, Google Cloud Platform (GCP), Looker, Metabase...
Computer Security Laboratory - LabSec
Data Privacy, Risk Assessment, Fraud Detection, Research, Data Analysis...
e-Tec Brasil
Test-driven Development (TDD), JUnit, Selenium, Hibernate, Java EE (Jakarta EE)...

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

2020 - PRESENT
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.
Technologies: Data Build Tool (dbt), BigQuery, Google Cloud Platform (GCP), Looker, Metabase, Python, LLM Integration, PostgreSQL, Data Analytics, Data Engineering

Researcher

2016 - 2020
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.
Technologies: Data Privacy, Risk Assessment, Fraud Detection, Research, Data Analysis, Cybersecurity, Python

Software Developer

2015 - 2016
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.
Technologies: Test-driven Development (TDD), JUnit, Selenium, Hibernate, Java EE (Jakarta EE), Web Development, PostgreSQL, PrimeFaces, Java

Database Analyst

2014 - 2015
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.
Technologies: Query Optimization, Business Intelligence (BI), PostgreSQL, Data Analysis, Data Modeling, SQL

Software Developer

2013 - 2014
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.
Technologies: PHP, Infrastructure, Digital Certificates, Zend Framework, Web Development, SQL

Experience

Large-scale Data Integration and Entity Matching Platform

I worked on a large-scale data integration platform that consolidates company and people data from multiple external sources into analytics, search, and client-facing products. My work focused on building and maintaining data pipelines, data models, entity matching logic, deduplication processes, and data quality checks using BigQuery, dbt, SQL, Python, PostgreSQL, and Elasticsearch.

Education

2020 - 2024

PhD in Computer Science

University of Pisa - Pisa, Italy

2017 - 2019

Master's Degree in Computer Science

Federal University of Santa Catarina - Santa Catarina, Brazil

2013 - 2017

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

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring