Summary
Qi 祁奇 is a Stockholm-based senior data engineer and freelance consultant with 11 years of experience designing and operating large-scale data platforms across AWS and GCP. He has led end-to-end cloud migrations and built cost-efficient, low-ops analytics platforms for gaming, media and telecoms—delivering solutions that power BI, A/B testing, data science and streaming use cases. Qi blends hands-on engineering (Spark, BigQuery, Snowflake, Airflow, Kubernetes, Terraform) with DevOps automation and cross-team integration, regularly moving legacy systems to modern cloud-native architectures. He’s repeatedly been the first data hire or technical lead, steering architecture from proof-of-concept to production at companies like Acast, Tele2 and Toca Boca. Comfortable in both consultancy and embedded roles, he pairs research-backed distributed systems insights (MSc in Distributed Computing) with pragmatism—optimising for scalability and minimal operational overhead.
11 years of coding experience
8 years of employment as a software developer
Master of Science, Distributed Computing in Computing Science, Master of Science, Distributed Computing in Computing Science at KTH Royal Institute of Technology
Bachelor of Science (Engineering), Telecommunications Engineering with Management, Bachelor of Science (Engineering), Telecommunications Engineering with Management at Beijing University of Posts and Telecommunications
Bachelor of Science (Engineering), Telecommunications Engineering with Management, Bachelor of Science (Engineering), Telecommunications Engineering with Management at Queen Mary University of London
Qualifying Courses in Swedish as a Foreign Language (Level 1 – 3), Qualifying Courses in Swedish as a Foreign Language (Level 1 – 3) at Uppsala University
Master of Science, Distributed Computing in Computer Science, Master of Science, Distributed Computing in Computer Science at Instituto Superior Técnico
English, Chinese, Chinese, Swedish