Designed, developed, and maintained backend services in Python for financial, employment, and fiscal data products, taking services from initial design through production.
Built and operated complex data extraction pipelines and scrapers for high-difficulty sources, performing large-scale data processing and analysis to ensure accuracy, reliability, and performance.
Implemented and maintained cloud infrastructure using AWS and Terraform, contributing to internal libraries and delivering reliably under tight deadlines in a fast-paced startup environment.
Built and maintained data scraping spiders using Scrapy and Python, extracting information from diverse sources, such as e-commerce platforms and forums.
Implemented distributed crawling architecture, enabling the scraping of millions of pages weekly, boosting performance.
Created real-time dashboards for monitoring scraping activities and data pipeline efficiency.
Collaborated with stakeholders to define requirements and deliver data-driven solutions within tight deadlines.
On-site, São Carlos, Brazil | Apr. 2019 - Aug. 2020
Developed data extraction tools for APIs, databases, and web sources, supporting business intelligence and analytics pipelines.
Designed and automated dashboards, spreadsheets, and reports, integrating data from Google BigQuery and Google Sheets for real-time marketing insights.
Built data governance tools, reducing maintenance costs and improving data quality across pipelines.
São Carlos, São Paulo, Brazil | Jul. 2024 - Oct. 2025
MBA in topics of Advanced AI and Big Data, focused on current methodologies in AI, data storage, and processing with practical implementation exercises.
São Carlos, São Paulo, Brazil | Mar. 2015 - Dec. 2021
Received a Bachelor's Degree from the Instituto de Ciências Matemáticas e de Computação, at the University of São Paulo (ICMC - USP), one of the most important Brazilian institutions in the fields of STEM.
Skills
Languages Portuguese (Native), English (Full Professional Proficiency)
Skills and Tools Python, SQL, Git, Linux, Google Cloud Platform (BigQuery, Cloud Functions, Storage, App Engine), AWS (Firehose, Athena, S3), Microsoft Azure (AKS, VMs, Functions), Web scraping (Scrapy, Puppeteer, Selenium), DevOps, Infrastructure (Docker, Kubernetes, Terraform), CI/CD (ArgoCD, Gitlab), Messaging and Caching (Redis), Web Frameworks (FastAPI, Flask), Monitoring (Grafana, InfluxDB, Loki), Testing (Pytest, Unit Tests)