Ruslan Altynnikov is a seasoned prompt and data engineer with 8+ years of experience building large-scale backend and Big Data systems, currently working on prompting at Spotify in Stockholm. He has deep hands-on expertise in Java, Scala and Python and has driven the migration of on-premise Hadoop workloads to Google Cloud (Dataflow, BigQuery, Bigtable) for critical company metrics like MAU/DAU, retention and subscriptions. Ruslan combines product-minded service ownership—having led settlement and subscription accounting platforms—with low-level trading systems experience from earlier roles, giving him a rare blend of financial systems rigor and modern data engineering practice. He’s comfortable across batch and streaming pipelines, anti-fraud detection, metrics-quality engineering and operationalizing ML-adjacent workflows, and often pairs notebook-driven analysis with production-grade pipeline code. Unusually, his background spans both high-frequency trading connectivity and global subscription accounting, which informs pragmatic, reliability-first designs for data-intensive products.
8 years of coding experience
15 years of employment as a software developer
M.Sc. Applied Mathematics, M.Sc. Applied Mathematics at Omsk State University
DBeam extracts SQL tables using JDBC and Apache Beam
Contributions:50 pushes, 15 branches in 4 years 3 months
mysqlbeamsqlapacheoracle
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