Summary
Мaxim Keremet is a Senior Data Engineer with 8 years of experience building production-grade data platforms, streaming analytics, and MLOps practices across gaming, retail, and consumer internet companies. Currently at Netflix Games, he designs and owns both batch and streaming pipelines for analytics and monitoring, and has a history of scaling ML inference and feature stores for tens of millions of users. He combines hands-on engineering (Airflow, Kafka, Snowflake, Scala, Iceberg) with developer enablement—building internal workflow tools, runbooks, dashboards, and mentoring analysts and course authors. A recurring theme in his career is turning prototypes into reliable, observable systems and cost-optimized course infrastructure, reflecting his “learning by doing” approach and a knack for bridging education and production. Based in Helsinki, he pairs business-oriented academic training with practical SRE and MLOps craft, making complex data products accessible to stakeholders.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Business Administration (BBA), Business Administration, Management and Operations, Bachelor of Business Administration (BBA), Business Administration, Management and Operations at Jönköping University
Bachelor’s Degree, Finance and Credit, Bachelor’s Degree, Finance and Credit at Plekhanov Russian University of Economics
Master of Science - MS, Intelectual Capital management, Master of Science - MS, Intelectual Capital management at University of Gothenburg
English, Russian, Swedish