Summary
Saeed Partonia is a seasoned Data Engineer based in Stockholm with 11 years of experience designing and operating scalable data pipelines and analytics platforms. He brings deep cloud-first expertise across GCP (BigQuery, Dataflow, BigTable, Pub/Sub, Kubernetes) and AWS big data services, and is certified in Spark and Kafka with hands-on experience in Apache Beam/Scio. Proficient in Scala and fluent in Python and its scientific stack, he blends software engineering rigor with data science tooling to move models and analytics into production. His career spans multiple stints at Spotify plus roles at IKEA, Mentimeter and Tibber, reflecting repeated engagement with high-throughput, product-facing data problems. Saeed’s background in both applied research and entrepreneurship (KTH and Stockholm School of Economics studies) gives him a pragmatic, product-minded approach to building data platforms. He often pairs distributed-streaming patterns with batch analytics, favoring maintainable, cloud-native architectures that scale.
11 years of coding experience
10 years of employment as a software developer
Master's degree Entrepreneurship, Master's degree Entrepreneurship at KTH Royal Institute of Technology
Execution Growth, Execution Growth at Stockholm School of Economics
Master's degree Computer Science, Master's degree Computer Science at Umeå University
English, Azerbaijani