Fedor Polyakov Email & Phone Number

Tbilisi, Georgia

- Led a team of data engineers in designing and implementing data pipelines and solutions using Python, Airflow, Greenplum, and Trino, ensuring scalability and reliability in production.- Worked closely with analytics, product, and engineering teams to translate business needs into technical solutions, optimizing SQL queries for data marts and automating reporting systems.- Implemented monitoring and alerting systems to track pipeline performance and data quality, significantly reducing downtime and improving system reliability.

- Mining leads from linkedin- Creating data marts, data pipes via Airflow- Creating airflow operators- Mining data from yandex tracker, calendar, forms- Extract data from warehouse and sending to API- Mining metadata from db sources for creating meta/feature store- Move pipelines from our spark service to airflow, which allowed us to reduce costs - Setting up resource groups, configure memory settings in Greenplum- Create new pipeline loading data from postgres, which boost pipeline speed x3

Moscow, Moscow City, Russia

- Developing etl tool for uploading data to datalake using python, spark, docker- Creating data replication in Postgres-like cloud-native database- Creating airflow monitoring/alerting in grafana

Москва, Россия

- Configuring and supporting batch replication from different databases to the repository.- Creation of enriched data marts on hadoop and subsequent replication to vertica.- Orchestrating ETL/ELT pipelines into airflow.- Migrated over 30 replications from legacy service - thereby improving replication support.- For each replication I've configured data delivery quality check to the repository. - Moved several airflow pipelines to jupiter notebooks for analysts - increasing development speed of new marts / fixing existing ones by 50%