Maryna Popova
Market Research Analyst at Hochschule Anhalt
Köthen (Anhalt), Saxony-Anhalt, Germany
Summary
🤩
Rockstar🎓
Top SchoolMaryna Popova is a market research analyst and former senior lecturer with a PhD in Information Technology and an MBA, combining five years of applied research and project coordination experience with deep academic expertise. Based in Köthen, Germany, she bridges technical and managerial domains—moving from intelligence-focused research and university projects to business analysis and coordinating digital innovation initiatives. Her hands-on contributions to AWS Redshift utilities demonstrate practical database optimization skills uncommon for market researchers, reflecting strong SQL and data engineering instincts. Maryna excels at turning complex requirements into actionable insights, having led analytical teams and shaped research directions in both academic and government-funded programs. Fluent in managing interdisciplinary projects, she brings a pragmatic blend of methodological rigor, stakeholder engagement, and product-focused delivery.
5 years of coding experience
10 years of employment as a software developer
Master of Engineering - MEng, Environmental Protection, 5, Master of Engineering - MEng, Environmental Protection, 5 at Kyiv National University of Construction and ArchitectureMaster of Business Administration - MBA, International Business/Trade/Commerce, 1,3, Master of Business Administration - MBA, International Business/Trade/Commerce, 1,3 at Hochschule Anhalt
English, German
Github Skills (5)
amazon-redshift10
database-administration10
sql10
database-design9
data-analysis8
Programming languages (1)
Github contributions (1)
awslabs/amazon-redshift-utils
Nov 2020 - Nov 2021
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
Role in this project:
Database Engineer / Database Administrator
Database Engineer / Database AdministratorContributions:6 commits, 2 PRs, 6 pushes in 1 year
Contributions summary:Maryna's commits primarily focus on modifying SQL scripts within the `amazon-redshift-utils` repository. Their work involves updating SQL views and scripts to enhance data presentation and calculations within the Redshift environment. The user's changes include adjusting storage size calculations, filtering data based on node types, and modifying table inspection logic. These modifications indicate a strong understanding of Redshift's internal workings and optimization strategies.
amazon-redshift
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