Sebastian Paulo
Freelance data engineer specializing in complex institutional data. I build automated monitoring systems and intelligent platforms that help organizations stay ahead of rapidly changing information landscapes.
I deliver end-to-end data solutions that transform complex information challenges into automated, scalable systems.
From data collection and processing to interactive platforms, I help organizations build the infrastructure they need to turn scattered information into actionable insights.
Custom Data Pipeline Development
Automated collection, transformation, and integration from web sources, APIs, and documents using command-line orchestration and robust validation frameworks
Text Processing & NLP Solutions
Document classification, semantic search, and structured data extraction from unstructured content using machine learning models
Interactive Data Platforms & Dashboards
Full-stack web applications with search, filtering, and visualization capabilities that make complex data accessible to end users
Database Design & Optimization
Scalable database solutions with full-text search, performance tuning, and architecture optimized for your specific data types and query patterns
API Development & System Integration
Custom APIs and data connectors that enable seamless integration between existing systems and new data sources
Portfolio
Real-world projects that demonstrate how I transform complex data challenges into automated, intelligent systems.
Sebastian Paulo
Data Engineer
I bring a unique combination of technical expertise and deep policy research experience to data engineering challenges. With advanced degrees from Sciences Po Paris and the College of Europe, I spent nearly a decade as a policy researcher, working with organizations like the OECD Development Centre, the German Institute of Development and Sustainability, and Observer Research Foundation in New Delhi.
Through years of policy research, I developed expertise in navigating complex institutional data, extracting insights from official documents, and working with statistical datasets across different organizational formats—experience that translates directly to the data engineering challenges I solve today. After completing my Data Science certification at Jedha Bootcamp in Paris, I've specialized in building automated systems that help organizations navigate information-heavy environments.
My recent work includes developing semantic search engines for journalistic research at Article7 in Brussels and creating comprehensive trade policy platforms for Borderlex. I combine analytical rigor with technical implementation to deliver data solutions that solve real-world problems.
Based in Paris and working internationally, I collaborate with clients in German, French, and English.