ÂÜÀòÂÒÂ×

Semen Kotsiuruba has a strong background in data engineering and data warehousing. Semen is currently employed as a Senior Data Warehouse Engineer at Svitla Systems, Inc., where they build and manages data warehouses and sets up data pipelines and ETL/ELT processes from various sources. Semen is proficient in working with AWS, GCP, Jupyter Notebook, Airflow, Apache Spark, dbt, and Kafka. Semen has experience with multiple databases such as MSSQL Server, Cassandra, Elasticsearch, Neo4j, PostgreSQL, and MySQL.

Prior to their current role, Semen worked at SPsoft as a Data Engineer, focusing on the ETL process and data infrastructure for a product company. Semen also had responsibilities in data analytics, building complex reports with forecasting and data visualization using tools like Metabase, Looker, and Chartio. Semen utilized Google Cloud Platform, including BigQuery, Task, Functions, SQL, Dataflow, and Spark.

Before SPsoft, Semen was employed at WeSoftYou as a Data Engineer, Python, where they processed data using Airflow ETL system and built a data warehouse on Amazon Redshift. Semen also developed APIs for analytics based on Django backend server and implemented Node JS backend using Strapi. Semen has experience in data visualization using Tableau and Metabase.

Semen's earlier experience includes working as a Python/ETL developer at Autobazar, where they updated and improved the backend on Django and Flask frameworks. Semen also performed web scraping using BeautifulSoup and requests, and worked with database queries on PostgreSQL and GCP SQL.

Prior to Autobazar, Semen worked as a Python Developer, where they set up backends and APIs using Django and Flask. Semen parsed websites and stored data in databases like PostgreSQL and MongoDB, and also handled data migration and ETL processes.

Overall, Semen Kotsiuruba has a solid background in data engineering, data warehousing, ETL processes, data visualization, and working with various databases and cloud platforms.

Semen Kotsiuruba received their Master of Laws degree in Commercial Law from Taras Shevchenko National University of Kyiv, where they studied from 2005 to 2010. Additionally, they have obtained several certifications, including "Professional Data Engineer" from Google Cloud in January 2022, "Building Resilient Streaming Analytics Systems on GCP" from Coursera in December 2021, "Modernizing Data Lakes and Data Warehouses with GCP" from Coursera in November 2021. Semen also completed the course "Google Cloud Big Data and Machine Learning Fundamentals" in 2021, although the specific month is not provided. Furthermore, they have completed a tutorial on Python 3, although no institution or completion date is specified.