Maxim Kramarenko is a Senior Databases Engineer with 15 years of hands-on experience building low-level, multi-threaded and distributed systems, and two decades involved in NoSQL DBMS development and big data projects. He led the design and production of a custom in-memory cloud DBMS for timeseries at Presenso/SKF, operating single servers with up to 10M timeseries and 250B datapoints while sustaining multi-million datapoint/sec ingest rates. His work spans the full data stack—ETL microservices, AWS analytics (Redshift, DynamoDB, Athena, Glue, SageMaker) and secure deployment (X.509 client certs)—and includes long-term production maintenance for industrial customers. Equally comfortable in C/low-level systems and cloud-native services, he has a proven track record of turning research-grade analytics into robust, scalable products. Based in Karaganda, Kazakhstan, he combines deep systems intuition with practical product delivery across enterprise and startup environments.
15 years of coding experience
16 years of employment as a software developer
Engineer, Engineer at Moscow Power Engineering Institute (Technical University)
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