Опыт работы:
- I have 3 years of experience in developing, implementing, and optimizing data processing systems and ETL processes.*
- *Participated in supporting and optimizing ETL data pipelines for one of the largest banks in Russia, working with Data Vault 2.0 architecture and distributed DBMS like Arenadata GP.*
- Integrated data from various sources (Apache Kafka, Oracle, MySQL) into the internal data warehouse (DWH) to create data marts and build reports.*
- Optimized SQL queries, which increased data processing speed by more than 3.5 times, enhancing overall system efficiency.*
- Successfully managed a small team of three developers, participated in task evaluation for development. My team was nominated for the “Best Teams of 2023” award at the company level.*
- Developed a Django-based application to automate the process of collecting employee information, reducing routine tasks and accelerating HR managers’ work by more than 1.5 times.*
- Experienced with tools and technologies such as Apache Airflow, Apache Spark, Docker, PostgreSQL, and BI tools like Apache Superset.*
Образование:
2019 – 2023:
Bachelor's Degree in Mathematics and Computer Science
Voronezh State University, Faculty of Computer Science
2023 – present:
Incomplete Master's Degree in Fundamental Informatics and Information Technologies
Voronezh State University, Faculty of Applied Mathematics, Informatics, and Mechanics
Профессиональные и другие навыки:
SQL, Python, ETL, Data Vault, Star/Snowflake schemas, Hadoop (HDFS, Hive, MapReduce), Apache Airflow, Apache Spark, Apache Superset, Greenplum, Arenadata DB, Linux, Git, Docker
Владение языками:
Английский
Дополнительно:
I am open to considering job opportunities in other EU countries as well too
