Looking for a job

Ivan Kuznetsov

@iavnkuzn

Message

Data Engineer at Zalando who cut seller billing data processing from two hours to 15 minutes.

Argentina

Message

At Zalando, I optimized the seller communications GMV pipeline for billing, reducing final data mart calculation time from two hours to 15 minutes. I also implemented event-driven delivery of competitor GMV data, cutting delays from three hours to 30 minutes.

Previously, at Bank of Ireland, I improved Spark reporting pipelines, reducing one runtime from two hours to 40 minutes. At NEWROLE.AI, I designed a Kimball-methodology data warehouse layer and introduced automated dbt model testing, with more than 20 test triggers before production.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Zalando

Dec 2024 - Present (1 year 10 months)

Optimized pipelines for GMV calculation and data delivery, reducing computation times from hours to minutes. Developed ETL pipelines and refactored processes to improve stability and scalability.

Python Airflow Vertica Hadoop Spark Clickhouse PostgreSQL S3 Kafka

Data Engineer

Bank of Ireland

Mar 2024 - Dec 2024 (9 months)

Worked on regular bank reporting, optimizing ETL processes and reducing pipeline runtimes. Implemented caching, partitioning changes, and data skew elimination to improve performance.

Hadoop Spark Java Scala

Data Engineer

NEWROLE.AI

Jul 2022 - Mar 2024 (1 year 8 months)

Designed data warehouse layers and developed analytical data marts using dbt. Introduced automated testing and documentation practices, reducing costs and improving data accessibility.

Vertica DBT Airflow AWS