Albert Bikeev

As part of our Data-platform team I: - set up a Data cataloging solution with lots of custom integrations with various data sources - experiment with different data pipeline approaches to make it more efficient and business-oriented - share experience in functional programming and Scala - took internal courses on product-owning, communication, AWS Buzzwords: Data-engineering, Scala, Functional-programming, Apache Kafka, Elasticsearch, Apache Atlas, Kubernetes, Python

Worked in the team gathering and connecting data for the whole company and more. Which includes: - Building streaming ETL pipelines - Developing internal billing system - Learn how to gradually eliminate legacy and tech debt - Giving presentations to the team about Functional programming, concurrency and more. The company had serious troubles because of the Covid and almost everyone on probation period was laid off including me. I enjoyed the job and I believe that my team also liked working with me

Maintenance of distributed legacy system for fraud prevention: - Searching and fixing of bugs - Analyzing and fixing performance bottlenecks Development of some parts of the new fraud-prevention system: - Creating data-ingestion parts based on the legacy system implementation - Designing specifications for persistence component - Improving technical recruitment processes Buzzwords: Scala, Kafka, MongoDB, Elasticsearch

Development of a back-end for a platform of intelligent analytics and predictive analysis is a tool developed for industrial companies - Clover.global. In a small team of Scala developers, we built a Complex Event Processing engine for time-series data with DSL based interface for data-analysts and non-IT people who now can get a lot of insights about the data. Also, other teams in the company implemented analytical front-end on top of the engine (for visual monitoring and alerting).