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鈥憇tack 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鈥攈e often bridges field sensing, data validation, and cloud operations to turn civic and sustainability data into reliable, auditable systems.
12 years of coding experience
13 years of employment as a software developer
Data Engineer Data Science and Artificial Intelligence, Data Engineer Data Science and Artificial Intelligence 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
Systems Engineering Computer Science and Information Systems, Systems Engineering Computer Science and Information Systems at Universidad del Valle (CO)
Spanish, English