- Spearheaded the creation of a self-service streaming data platform on top of Apache Flink, enabling seamless and efficient data processing for internal teams.- Took charge of maintaining a customized fork of Apache Flink, ensuring it remains optimized and aligned with the company's specific requirements.- Conducted training sessions and workshops to empower other teams in the company to utilize the self-service platform effectively, thereby enhancing their data-driven decision-making capabilities.- Proactively identified and resolved issues related to data processing, performance bottlenecks, and scalability, resulting in enhanced platform stability and overall efficiency.

- Develop and maintain Data Management Platform for Yandex.Go superapp (Python).- Develop batch and streaming data pipelines with Apache Spark, Flink and internal Yandex Big Data frameworks (Python, Java);- Connecting Apache Spark and Flink with Yandex proprietary data infrastructure (Java, Scala)

- Designed and implemented complete data management and processing infrastructure for Predictive Maintenance project based on Hadoop, Spark, Postgres, Python and Airflow;- Worked closely with Data Scientists to understand their data demands and help extract useful features from data;- Optimised Spark jobs for performance;- Productionized Machine Learning pipelines (turning research code into production code);- Responsible for maintaining data quality by performing operations such as data cleaning, anomaly detection, etc.

DWH Development Team - Development and maintenance of metadata-driven ETL framework (Pentaho, Oracle, Python, Hadoop). - SQL performance tuning.- Solving data-related incidents in the Data Warehouse.- Designing Data Marts, ETL-processes and data pipelines.- Participating in on-call support (24x7 weekly duties).- Performing code review.- Development using agile methodology.