At TradingView, I automated revenue recognition and tax calculations by moving manual Excel workflows into Redshift with dbt and Airflow. I also redesigned the Monthly Recurring Revenue service, replacing a long-running Python process with an SQL script executed in five minutes.
I optimized Redshift pipelines, removing unnecessary loads and correcting data issues, and refactored Airflow integrations and pipelines. I also implemented analysis of Metabase dashboard usage and developed a pipeline to collect Snowplow S3-loader errors.
At Sibur Digital, I developed a custom Airflow operator and loading algorithms for the DDS-Framework, and built a Java processor for NiFi. Earlier, at GlowByte Consulting, I developed Kafka streaming applications and ETL pipelines; at Sberbank, I worked on borrower behavior and customer complaint analysis using machine learning.
