Veronika Golubeva

Veronika Golubeva's work experience includes:

- Data Engineer at datrics.ai (2022-present): Built ETL pipelines in Python, created pipelines and dashboards for tracking users activity in social media, and optimized projects using various techniques.

- Data Analyst/Data Engineer at Sberbank (2020-2022): Built ETL frameworks in Python/PySpark, automated productivity reports and test metrics, and developed markup architecture.

- Teacher at Высшая Школа Экономики (2021): Taught a course.

- Teacher at GeekBrains (2020-2021): Taught a course on "Python for Data Science," judged graduation projects, and authored an NLP course.

- Data Engineer/Lead Data Analyst at Sberbank (2017-2020): Led a team, created technical documentation, developed and optimized ETL workflows, and conducted research.

- Implementation Specialist/Leading Implementation Specialist at ООО "1 форма" (2016-2017): Conducted training, performed business and data analysis, and developed queries for efficient reporting.

Veronika Golubeva attended Finance University under the Government of the Russian Federation from 2012 to 2016. Veronika obtained a Bachelor's degree in Applied Mathematics and Information Technology.