Valeria Selivanova
Bis 2023, Data Engineer, Digital League
Berlin, Deutschland
Über mich
- Experienced Data Engineer with a background in data pipeline development and data architecture design - Skilled in using Airflow, DBT, Kafka, SQL, Git, Python, Spark, Docker - I created DWH and Data Lakes from scratch in previous roles - I was successful in reducing the time of data loading, running ETL pipelines and SQL queries and error detection in Databases
Werdegang
Berufserfahrung von Valeria Selivanova
2 Jahre und 10 Monate, Dez. 2020 - Sep. 2023
Data Engineer
Digital League
- Participation in creating a data lake from scratch for a new department (>100 people). - I switched the data sources for the data warehouse from manual data loading to automatic, which significantly speeded up our work. - Optimization of SQL queries and ETL pipelines, thanks to which their speed increased by 20%. - Implementation of data quality monitoring in both the data lake and data warehouse, thanks to which the rate of error detection increased by more than 30% and the speed of its error - 50%.
5 Monate, Juli 2020 - Nov. 2020
Data Analyst Intern
Sberbank
- Analysis of employee productivity, which revealed different effectiveness of the same methods in different regions of Russia. - Participation in the analysis of the financial efficiency of the sales management system, thanks to which funding for its development was increased by 10%. - Development of additional metrics of system efficiency and profitability. - Thanks to my engagement analytics, groups of uninvolved users were identified and the development of gamification of the management system began.
6 Monate, Jan. 2020 - Juni 2020
Data Analyst – Research Assistant
National Research University Higher School of Economics
- Building pipelines for parsing text sites from scratch and maintaining them. - I created the RDB for the scientific research from the very beginning. - With my active participation, statistical hypotheses were put forward and confirmed using statistical models. These results were later included in the final text of the research.
Ausbildung von Valeria Selivanova
3 Jahre und 10 Monate, Sep. 2018 - Juni 2022
Political Science/Computer Science
National Research University – Higher School of Economics
Grade: 8.6 Diploma Thesis: Protests in Russia: Dynamics of Social Media News Coverage (Topic-Modelling BERT)
Sprachen
Russisch
Muttersprache
Englisch
Fließend
Deutsch
Gut
Georgian
Grundlagen