Личные данные скрыты

MARIIA BRAZHNYK
Data Engi neer

CONTACT PROFILE SUMMARY
[открыть контакты](см. выше в блоке «контактная информация») Data Engineer with hands-on experience maintaining and supporting a
production data warehouse. Skilled in building, debugging, and optimizing data
Kyiv, Ukraine pipelines, integrating data from multiple sources, and preparing reliable datasets
Mariia Brazhnyk for client-facing analytics. Actively developing a strong foundation in data
engineering best practices and modern tooling through continuous self-study,
and applying this knowledge to improve reliability and maintainability of existing
EDUCATION systems.

2018 - 2022 EXPERIENCE
NATIONAL TECHNICAL
UNIVERSITY OF UKRAINE “IGOR UNIQA Ukraine 06/2025 — Present
SIKORSKY KYIV POLYTECHNIC
INSTITUTE” Data Engineer
Bachelor of Applied Mathematics Data Warehouse maintenance:
Configured and maintained data import/export from multiple source
systems.
Debugged data pipelines and handled execution failures.
SKILLS Optimized existing scripts to improve reliability and performance.
Technical skills: Prepared data for client-facing reports based on business requirements.
Cleaned, validated, and transformed data for analytical use
Statistics
Python PwC Ukraine 12/2024 — 06/2025
SQL
Junior Data Analyst
DBT
Cleaned, standardized, and analyzed raw financial data from multiple
Prefect systems.
Docker Prepared structured datasets for downstream analysis and reporting.
Tableau Documented data transformations and highlighted anomalies in source
data
Professional Skills:
Analytical Mindset Label Your Data 10/2022 - 09/2024
Adaptability Data Annotator
Self-management
Contributed to the development of machine learning models by accurately
labeling and categorizing data across various formats. My responsibilities
LANGUAGES included reviewing and annotating text, images, and audio to ensure high-
quality datasets.
Ukrainian: Fluent
English: Upper-Intermediate (B2-C1)
PERSONAL PROJECTS
Quantium Data Analytics Job Simulation on Forage
Tableau: Retail Sales Dashboard (link)
Python: Machine Learning (link)