Cybersecurity Risk Analyst • Fraud Prevention • Python • SQL
Automating security processes, investigating fraud patterns, and mitigating operational risks.
I am a Cybersecurity professional currently working as a Backend Developer focused on Security Automation at Topaz, with 3 years of experience dedicated to financial fraud prevention and operational risk analysis.
My work combines threat investigation intelligence with software engineering. I specialize in identifying anomalous behavior and illicit patterns using data cross-referencing (SQL) and financial systems log analysis. To scale and speed up defense operations, I apply my engineering knowledge (Python, REST APIs with Flask/FastAPI) to create scripts, automations, and internal investigation tools.
My primary goal is to ensure agility in incident response and support business areas with data intelligence, mitigating risks and focusing on technical compliance with security requirements.
- Perform log analysis, cross-reference massive data with SQL, and identify fraud patterns
- Create Python scripts and automations to optimize investigation workflows and reduce incident response time
- Develop and maintain internal backend APIs (Flask/FastAPI) that directly support the Cyber Security team's operations
- Ensure the quality and resilience of security automations using TDD, BDD, and Clean Architecture
- Support risk mitigation and technical compliance in financial environments
Fraud & Security Analytics
- Incident Investigation & Log Analysis
- Fraud Pattern Identification & Data Crossing
- Technical Compliance (LGPD/BACEN)
- SQL (Relational Databases)
Security Engineering & Automation
- Python (Flask / FastAPI)
- REST APIs
- Pytest, TDD & BDD (Gherkin)
- Clean Architecture & SOLID principles
Platform & Delivery
- Docker & Linux
- Git
- Postman, Jira & Confluence