Valeria Selivanova

Bis 2023, Data Engineer, Digital League
Berlin, Germany

Skills

ETL
Apache Spark
Data Warehouse
Big Data
Python
SQL
airflow
Docker
Git
FastAPI
Elasticsearch
Data Lake
pytest
CI/CD
AWS
Kubernetes
Database
Snowflake
GitLab
PostgreSQL
Cloud Computing
Apache Hadoop
Apache Kafka
Bash
GCP
dbt
NoSQL
Prometheus
Terraform
Bytebase
independent
Reliability
Responsible
Team work
Communication skills
Motivation

Timeline

Professional experience for Valeria Selivanova

  • 2 years and 10 months, Dec 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 months, Jul 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 months, Jan 2020 - Jun 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.

Educational background for Valeria Selivanova

  • 3 years and 10 months, Sep 2018 - Jun 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)

Languages

  • Russian

    C2 (Expert / native speaker)

  • English

    C1 (Fluent)

  • German

    B1-B2 (Good)

  • Georgian

    A1-A2 (Basic)

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