Євген

Yevhen Moroz
Junior Data Engineer | Python | SQL | BigQuery
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GitHub | LinkedIn
Kryvyi Rih, Ukraine
Summary:
Aspiring Data Engineer with a foundation in Python, SQL. Computer Science
student focused on Data Engineering with hands-on experience in building ETL pipelines using
Python and BigQuery. Focused on designing reliable data workflows, data transformation, and
working with structured and semi-structured data. Interested in building scalable data systems
and using some modern, cloud-native data engineering tools.
Hard skills:
— Python programming skills: OOP, scripting and analysis, serialization, data
processing, web scraping;
— Data Engineering Fundamentals: data pipelines, ETL processes (extract, transform,
load), data validation and consistency checks, working with structured and semi-
structured data (JSON, CSV);
— SQL: data extraction, transformation, and querying; understanding of relational
databases, data modeling, and query optimization. SQLite;
— Cloud Data Warehousing & Transformation: BigQuery, dbt (basic data modeling
and transformations);
— MongoDB: MongoDB Atlas, MongoDB Compass, Working with NoSQL
document-based data, CRUD operations and basic data modeling;
— Pandas (data cleaning, filtering, groupby), Matplotlib/Seaborn (visualization);
— Jupyter Notebook;
— Version Control: Git;
— Containerization: Docker;
— Environment Management: Pipenv;
— Collaboration Tools: Slack, Jira;
— English: reading technical documentation, basic spoken communication.
Education:
2023 – 2027 – State University of Economics and Technology, Ukraine, specialty
"Computer Science" with focus on Data Science and Data Engineering, bachelor's degree.
Additional Education:
GoIT Python Data Science and Machine Learning Course, 2025 – 2026.
Relevant skills: Python, Pandas, NoSQL, SQL, MongoDB, Data Analysis, working
with structured and semi-structured data (JSON, CSV).
 Project experience:
— Genshin Impact Dataset Data Pipeline (main): Designed and implemented a
modular ETL data pipeline for processing and transforming real-world game dataset
with integration into Google BigQuery; includes data cleaning, normalization, data
validation and consistency checks and structured dataset generation with CSV
outputs due to cloud authentication constraints. Built dbt analytics layer on top of
BigQuery including modular staging and models for character statistics analysis.
SQL9queries.
Tech stack: Python, Pandas, SQL, BigQuery, dbt;
— Pandas Matplotlib Data Analysis: Performed exploratory data analysis including
data cleaning, transformation, and visualization to extract insights from structured
datasets.
Tech stack: Python, Pandas, Matplotlib, NumPy, Jupyter Notebook;
— Python Address Book CLI Assistant: Developed a command-line application
for managing contacts.
Tech stack: Python;
— Task Tracker (SQLite Database): Built a task management system using SQLite
for storing, updating, and tracking tasks with structured relational data.
Tech stack: Python, SQL, SQLite;
— Web Data Scraping & MongoDB Pipeline: Implemented a data pipeline for
scraping web data and storing it in MongoDB, including Python-based data
processing and NoSQL interactions.
Tech stack: Python, BeautifulSoup, MongoDB;
Research (Materials available on request or LinkedIn):
— Research Presentation (2024) – VII International Scientific Congress Society of
Ambient Intelligence 2024 - "Testing the Compliance of Databases with Business
Logic Requirements";
— Research Presentation (2025) – VIII International Scientific Congress Society of
Ambient Intelligence 2025 - "Integration of SQL Technologies in Game
Development".
Languages:
— English – B1 (Pearson Certified);
— Ukrainian is native.
Certificates and diplomas (Materials of the report are available on request or
LinkedIn):
— Certificate of Participation VII International Scientific Congress "Society of
Ambient Intelligence 2024", ISC SAI, 2024;
— English Language Proficiency Certificate, Pearson, 2024;
— Certificate of Participation VIII International Scientific Congress "Society of
Ambient Intelligence 2025", ISC SAI, 2025;
— GoIT Python Data Science and Machine Learning Course Certificate, (Expected
June 2026).