Position: python dev/data engineer
Category: Data Engineer
English level: upper
Years of experience: 3

significantly upgraded produced ETL quality and reduced fraction of trash data.
RUS/ENG. Location - Moscow, Russia

1. Admitad: Developed a contract for data supply on apache kafka based on google protobuf; also used logstash and clickhouse
2. Sbermarket: Tuned recsys in production: developed ETL pipelines; airflow DAGs, stored recommendations in redis. stack: yandex cloud, airflow, spark, grafana, clickhouse, docker, gitlab ci/cd
3. Ozon: 50/50 development/ML. wrote airflow dags/etl pipelines, trained neural nets. stack same as above + hdfs
4. freelance web development / ml projects, such as web service for image segmentation data labeling & solution on this task.

Education: Moscow State University named after Lomonosov, Computational mathematics faculty
i prefer small teams with startup atmosphere, but enterprise does not annoy me too.
also prefer working solo on my subproject, but sharing tasks is ok for me too.