Zainab Abbas is a Senior Solutions Engineer based in Greater Stockholm with a decade of experience turning complex streaming and big data problems into production-grade pipelines. Trained as a PhD in distributed computing and with hands-on research and industry work at KTH, Huawei, RISE, Kry and Mentimeter, she blends deep expertise in stream processing, graph analytics and time-series ML with practical tooling like Apache Flink, Kafka, Spark and TensorFlow. Currently at Databricks, she focuses on shaping scalable data architectures and enabling customers to operationalize advanced analytics. Colleagues describe her as a small human who simplifies chaos—she often connects academic rigor with pragmatic engineering to deliver real-time systems that have been tested on city-scale traffic and product analytics.
10 years of coding experience
5 years of employment as a software developer
School, School at Ecole elémentaire Du jardin
Doctor of Philosophy (Ph.D.), Erasmus Mundus Joint Doctorate in Distributed Computing, Doctor of Philosophy (Ph.D.), Erasmus Mundus Joint Doctorate in Distributed Computing at KTH Royal Institute of Technology
Doctor of Philosophy - PhD, Erasmus Mundus Joint Doctorate in Distributed Computing, Doctor of Philosophy - PhD, Erasmus Mundus Joint Doctorate in Distributed Computing at Universit�� catholique de Louvain
UPC Universitat Politècnica de Catalunya
English, french (spoke fluently in childhood), Spanish, Swedish
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