Rafael Pinto # Senior Software Developer Location BrazilDesired Salary UnspecifiedWork preference Full TimeLinks Status Actively looking Field / Industry Software Engineering * SharePreferences:Relocation: NoNotice Period: ImmediateSkill Assessments:This user has not passed any tests yet Languages: English - Report [Overview](#overview) ## About Me I am an experienced Software Engineer with a strong foundation in Python and SQL, specializing in backend and API development for data-intensive applications. With over 10 years of experience, I have designed and maintained RESTful APIs using frameworks like Django and Django Rest Framework. My expertise extends to relational databases, including PostgreSQL and MS SQL Server, where I have proven my ability to optimize queries and integrate with legacy systems. I am known for my clear communication skills, cross-functional collaboration, and a proactive approach to troubleshooting and performance optimization. Throughout my career, I have delivered robust, scalable solutions in healthcare and research environments, ensuring that I meet the needs of diverse stakeholders. ## Skills ### [Python](https://jobicy.com/talent/python.md)[Data Analysis](https://jobicy.com/talent/data-analysis.md)[JavaScript](https://jobicy.com/talent/javascript.md)[CI CD](https://jobicy.com/talent/ci-cd.md)[Machine Learning](https://jobicy.com/talent/machine-learning.md)[Agile](https://jobicy.com/talent/agile.md)[HTML](https://jobicy.com/talent/html.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[Django](https://jobicy.com/talent/django.md) ## Education Federal University of Rio Grande do Norte 2019 - 2022 Doctor’s Degree in Computer Science Federal University of Rio Grande do Norte 2014 - 2016 Master’s Degree in Computer Software Engineering Potiguar University 2006 - 2007 Specialization in Computer Systems Analysis Potiguar University 2001 - 2004 Bachelor’s Degree in Computer Systems Analysis ## Experience Senior Software Developer @ Federal Institute of Education, Science and Technology of Rio Grande do Norte Apr 2014 - Present - Senior Developer of SUAP, a national-scale ERP platform supporting administrative and academic operations across multiple Federal Institutes in Brazil. - Architected and maintained backend modules using Python and Django, enabling scalability and maintainability of core institutional services. - Designed relational database schemas and wrote optimized PostgreSQL queries, views, and stored procedures to support analytics and reporting. - Applied Behavior-Driven Development (BDD) with behave and implemented unit tests to improve code quality and ensure test coverage. - Delivered full-stack solutions using HTML, CSS, JavaScript, and modern design patterns for dynamic, user-friendly interfaces. - Managed the complete SDLC, from technical planning and implementation to deployment and long-term maintenance across multiple campuses. Senior Software Developer @ Telehealth Project @ LAIS - Technological Innovation in Health Laboratory Feb 2023 - Present - Leading end-to-end development efforts for a large-scale telehealth platform, with a strong focus on backend architecture, API integration, and data-driven features. - Designed and maintained scalable backend systems using Python and Django, ensuring robust integration with health data pipelines. - Led sprint planning, code reviews, and mentoring sessions to align the team with Agile best practices and continuous delivery. - Acted as a bridge between technical and non-technical stakeholders, translating health domain requirements into well-scoped, actionable technical tasks. - Oversaw DevOps processes and CI/CD pipelines via GitLab, ensuring code quality, traceability, and efficient deployment cycles. - Implemented performance monitoring strategies and contributed to data modeling for better system resilience and stakeholder reporting. Data Analyst @ Hermes Project @ LAIS - Technological Innovation in Health Laboratory Feb 2018 - Feb 2023 - Developed a data analysis platform to assess public health interventions using machine learning and NLP techniques. - Built a modular data processing ecosystem using Python, integrating Scrapy, Pandas, and NLTK to collect, clean, and transform large-scale unstructured news data. - Applied Natural Language Processing (e.g., sentiment analysis with VADER, TF-IDF, DBSCAN clustering) to extract insights from media coverage on public health topics. - Conducted statistical analysis (including Interrupted Time Series and segmented regression) to evaluate the impact of national health campaigns. - Designed interactive visualizations using Matplotlib and Plotly to support decision-making for stakeholders. - Automated data workflows and configured CI/CD pipelines with GitLab, ensuring reproducibility and deployment efficiency. Software Developer @ Simaies Project @ LAIS - Technological Innovation in Health Laboratory Feb 2015 - Feb 2018 - Contributed to the development of scalable web systems supporting health and social service management in Brazil. - Developed web applications using Python and the Django framework, following clean architecture and modular design. - Built and consumed RESTful APIs, ensuring seamless integration between frontend and backend services. - Designed, normalized, and optimized PostgreSQL databases to support complex business logic and data integrity. - Wrote unit and integration tests to maintain code quality, reliability, and test coverage across multiple components. - Participated in Agile/Scrum cycles, including sprint planning and retrospectives, contributing to team velocity and deliverable tracking. - Created and maintained technical documentation for system features, architecture decisions, and API specifications. - Collaborated with non-technical stakeholders to gather requirements and translate them into functional technical solutions. - Mentored junior developers, promoting adherence to coding standards and best practices. Data Analyst @ Athabasca University Sep 2019 - Dec 2020 - Supported academic research through the design of data pipelines and analytical tools for policy and behavioral studies. - Developed data ingestion tools in Python, integrating data from REST APIs and web scraping via Scrapy for structured analysis. - Conducted both qualitative and quantitative analysis, transforming raw datasets into actionable insights. - Researched and evaluated emerging machine learning frameworks for use in academic and social data contexts. - Designed data visualizations, spreadsheets, and presentation materials to clearly communicate findings to diverse audiences. - Actively contributed to research meetings and knowledge exchange sessions with faculty and technical teams.