Cesar Henrique Matias

Software Engineer with over 5 years of experience in backend development, web scraping, and embedded programming. Proven ability to design and optimize data pipelines, implement machine learning models, and develop scalable microservices architectures. Have delivered automated web crawlers that enhanced car market data enrichment, CI/CD pipelines that streamlined deployments, and API development.

Skilled in Python, C, SQL, AWS, and FastAPI, with a strong background in cloud computing, data visualization, and performance optimization.

SOFTWARE ENGINEER at CarBigData (2025-02 – Present)

• Architected an asynchronous, event-driven microservices scraping platform that improved data extraction resilience and scalability
• Implemented a custom captcha-solving component to broaden accessible sources and increase scraper reach
• Built a RabbitMQ-backed processing pipeline to decouple services and support high-throughput real-time ingestion
• Mentored interns and established scraper development and code-review practices that sped onboarding and raised output quality
• Deployed scalable scrapers and parsers integrated with PostgreSQL and internal APIs to support fraud analysis and BI
• Built monitoring and alerting for scraper health using Prometheus, reducing unnoticed failures
• Implemented CI/CD pipelines with Docker and Git to automate test deployments to staging
• Created retry and backoff policies for HTTP clients to cut transient scrape errors
• Documented API contracts and data schemas for analysts to speed downstream feature development
• Coached team on Git branching and code review practices to shorten merge cycles and reduce bugs

SOFTWARE ENGINEER at J2 Health (2024-09 – 2025-02)

• Built and maintained 30+ Python web scrapers to extract healthcare provider data from insurance portals
• Optimized scraping scripts to cut execution time and improve uptime for critical data pipelines
• Created and maintained parsing pipelines within scrapers to ensure accurate, consistent data extraction
• Designed data pipelines to process scraped data into PostgreSQL, MongoDB, and BigQuery for real-time availability
• Built FastAPI endpoints to serve cleaned provider records to internal dashboards with JSON responses
• Implemented CI/CD pipelines in Git to run tests and automatic deployments for scraper releases
• Integrated scraped datasets into BigQuery and MongoDB for flexible querying and downstream analysis

SOFTWARE ENGINEER at Saúde Trevo (2022-06 – 2024-09)

• Developed and maintained RESTful APIs with FastAPI and Django, cutting response time by 35%
• Led migration from Django to FastAPI, improving performance, scalability, and maintainability
• Managed GitLab source control and CI/CD pipelines, reducing deployment time by 40%
• Applied Test-Driven Development to reach 80% test coverage and reduce production bugs
• Designed and optimized PostgreSQL and MongoDB schemas, improving query performance by 50%
• Built Scrapy and Selenium web scrapers to automate healthcare data collection and improve retrieval efficiency
• Implemented microservices architecture to enable independent deployments and reduce downtime by 30%
• Developed event-driven Kafka systems and a Next.js back-office to improve real-time processing and admin control
• Refactored legacy Django endpoints into FastAPI routes, cutting average latency for key endpoints
• Designed PostgreSQL indexing strategy and optimized queries to speed complex reports for analysts
• Authored comprehensive API documentation and OpenAPI specs to accelerate frontend integration

SOFTWARE ENGINEER at Prometheon Tyre Group (2021-10 – 2022-06)

• Automated ETL pipelines in Python (Pandas, SQL Server), cutting manual data handling time by 20%
• Managed GitHub version control to enforce code standards and track multi-project changes
• Optimized Django REST APIs, reducing API response times by 30% for service integrations
• Built Scikit-Learn models for classification, regression, and clustering, improving model accuracy by 20%
• Created interactive dashboards with Streamlit, Seaborn, and Bokeh to improve stakeholder reporting
• Containerized microservices with Docker and deployed to EKS, shortening deployment cycles
• Implemented CI/CD pipelines in Git to run pytest and static analysis on every pull request

EMBEDDED SOFTWARE ENGINEER (INTERNSHIP) at AL2 Technology (2021-03 – 2021-10)

• Wrote embedded C and Assembly code that improved device reliability in resource-constrained targets
• Managed GitHub version control to coordinate code changes across the embedded team for large projects
• Queried and maintained on-device SQL databases to improve storage and retrieval for real-time tasks
• Managed AWS services to connect embedded devices to IoT monitoring and remote management
• Implemented UART and SPI drivers in C to stabilize device communication during power cycling tests
• Wrote Python test harnesses to automate sensor calibration, shortening validation time for each unit
• Performed memory profiling on embedded firmware to identify stack overflows and prevent runtime crashes

BACHELOR OF ENGINEERING – FEI-SBC (2019-01 – 2024-12)