Summary
Arman Yazdani is a Data Engineer based in Berlin with 11 years of experience building high-throughput data platforms and real-time pipelines. He has deep hands-on expertise in Spark, Hadoop, Kafka, Hive and NoSQL systems, and has designed ETL flows that handled billions of records per day. At Snapp! he led efforts to unify batch and streaming log pipelines supporting both OLAP and OLTP workloads, and at SON implemented real-time fraud detection across distributed microservices. Comfortable in Linux and containerized environments, he brings practical production instincts from end-to-end data ingestion to queryable data services. Holding a Master’s in Computer Software Engineering, he pairs academic rigor with pragmatic solutions for scaling data infrastructure. Colleagues would note his knack for translating complex logging sources into consumable datasets that power analytics and detection systems.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at University of Kashan
Bachelor's degree, Computer Hardware Engineering, Bachelor's degree, Computer Hardware Engineering at Hamedan University of Technology
English, Persian