Dr. Vitaly Buravlev

Tools used: Python, Scala, Spark, Airflow, NiFi, Hive, HDFS, Kafka, Hadoop ecosystem

Key projects (Scrum, 5-6 people): • ETL design, implementation (based on Hadoop ecosystem) for financial information data, infrastructure data processing, KPIs calculation; • streaming processing (Spark, Flink) of telecommunication events. Tools used: Scala, Java, Spark, Hive, HBase, HDFS, Clickhouse, Flink, Kafka, Flume, Hadoop ecosystem

Scala Software Engineer, backend · Software development (multi-service architecture, Azure Blob Storage, MySQL) · Scala (Akka Streams, scalikejdbc, scalatest)

"Biometric control system”, “Automated educational system” Software development: programming – C#, Java; database design and data manipulation: MSSQL, Oracle Database; development of an distributed application based on .Net WCF; device integration (C++, C#); Software project management:architecture design; task scheduling.

software development (C++, MSSQL); database design, report generation (using T-SQL).

Thesis “Efficient implementation of distributed tuple space” The aim of the work is to design and implement algorithms and methods for a tuple space framework that offers programmers the possibility of selecting desired features of the tuple space according to a specific application.