Summary
Sebastian Sabogal is a Data Engineer and DevOps practitioner with 12 years of experience building cloud-native data platforms, ETL pipelines, and backend services across NGOs, academia, and startups from Cali, Colombia. He combines hands-on Python/Django backend development, scalable ETL and Big Data tooling, and AWS infrastructure automation to deliver resilient CI/CD-driven solutions for data-heavy projects. His recent work includes designing air quality monitoring systems with citizen science integration and automating large-scale electoral document collection (hundreds of thousands of files) into S3 for downstream validation and blockchain signing. Comfortable across full‑stack stacks and containerized deployments, he also contributes to open-source communities and documents his learning through a long-running technical blog. Practical, mission-driven engineering—he often bridges field sensing, data validation, and cloud operations to turn civic and sustainability data into reliable, auditable systems.
12 years of coding experience
10 years of employment as a software developer
Data Engineer, Data Science e Inteligencia Artificial, Data Engineer, Data Science e Inteligencia Artificial at Platzi
100 Days of Code: The Complete Python Pro Bootcamp for 2023, Python Bootcamp, 100 Days of Code: The Complete Python Pro Bootcamp for 2023, Python Bootcamp at Udemy Alumni
Ingeniero de Sistemas, Ciencias de la Computación e Información, Ingeniero de Sistemas, Ciencias de la Computación e Información at Universidad del Valle (CO)
Spanish, English