Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 4

NLP pet-project. I am working with the Ukrainian language corpus and improving the accuracy of the model released to Hugging Face. Speech-to-text API, exposed only to the Ukrainian language.

Master's degree in computer science. The master's work was in NLP. The main tasks made a summarization of short texts, by using extractive summarization methods. Used libraries/approaches - spacy, fasttext / LDA, word2vec, tf-idf.

I won a hackathon with a team of 3 members. Developed a website providing a 3D tour, that helps you to find a proper space for business, and rent it. I was responsible for the front-end part.

Responsible, calm, communicative, team player, and strong-willed. Interested in learning new technologies and obtaining unique experiences.
3.5 years of experience as a data engineer. I was engaged in complex analytical projects. 

/1 Created a pipeline that found chronic issues in IoT devices in 60% of cases. Helped detect problems in the early stage, and prevent bad customer experiences.
/2 Building and maintaining a number of software solutions for customers, related to data ingestion, processing, and building visual representation (dashboards) that enable data-driven business decisions and operational monitoring.
/3 Writing, execution, and maintenance of data transformation jobs, ETL/ELT using Spark and its API. Mostly Pyspark.

/4 Spam/fraud attack prevention. After accomplishing research, I found a new type of malicious website – that helped to detect fraud in the early stages.
/5 Data scraping and collection for further analysis. Used technologies: Scrapy + Python (requests, selenium), PostgreSQL, and AWS.
/4 Experience with NLP by extracting useful information from the text and working with ASR and text-to-speech processing.



- Languages:	Python, SQL, JavaScript
- Technologies: 	Azure(ADF/Synapse Analytics); Databricks, Postgres, BigQuery, ClickHouse, Git, ElasticSearch, Linux.
- Big data:	Hadoop, Spark, Airflow.
- Other: Docker; ML/NLP; OWASP; Sisense, Superset, Grafana; VS code, Postman.

Certification: Azure Data Engineer (DP-203)
Interesting and complex tasks. Professional growth in a team of professionals. Stable working conditions.