Position: Data Engineer / Data Analyst
Category: Data Engineer
English level: fluent
Years of experience: 2


Hey! :)
I'm a data engineering and data analysis enthusiast, with almost 2 years of commercial experience. Besides that, during the past 4 years of my university studies I have worked on plenty of educational projects, which helped me to develop the key skills for working with data. 
I'm still advancing my knowledge by developing personal projects and learning more about data engineering technologies and tools, which we can discuss as well!

Commercial projects:
Data Warehouse Engineer / BI Engineer
* Developing AWS QuickSight visualization dashboards and
analysis reports for delivering analytics and insights to the end
user;
* Built Python scripts for more automated deployments and
migration of the QuickSight dashboards across multiple working
environments;
* Achieved significant improvements with the dashboards
deployment duration and reduction of manual steps involved;
* Features investigation, technical documentation writing and
team training.

Educational projects:
Bachelor Thesis Project at Ukrainian Catholic University
* Built ETL/ELT pipelines for creating a comprehensive dataset of
Ukrainian news articles for modelling and analysis;
* The pipelines worked with data from parsed news articles and the
Rest API for more detailed features retrieval;
* Was able to apply classical NLP approaches to analyse the textual
data — clustering and text summarisation.

Movies Analysis Project (Completed as a part of the Programming course at Ukrainian Catholic University)
* Built an ETL pipeline for the IMDB dataset containing the
information on all the movies existing in the IMDB resource;
* Optimized the transformation process and was able to reduce the
time taking to load in the data;
* Created an insightful report, which included statistics on movies
from the IMDB dataset.