Position: Data engineer (DWH, GCP, Airflow, CH)
Category: Data Engineer
English level: upper
Years of experience: 4

I have won hackathons organized by prominent companies like banks and Microsoft, where I developed a prototype of a device that enables visually impaired individuals to play sports. My innovative solutions and dedication to problem-solving helped me secure first place in these competitions.

As a programming instructor at a coding school, I created a course that helped train and prepare aspiring developers for a career in IT. Thanks to my course, 10 students were able to secure roles as backend and frontend developers, analysts, and UX designers, making a meaningful impact in their careers and the technology industry.
As a data engineer with 3+ years of experience, I specialize in designing, building, and maintaining data pipelines and infrastructure. I have expertise in various data warehousing tools, including ETL processes, data modeling, and data integration. I aim to optimize data processing and flow to ensure accurate, timely, and secure data delivery, enabling data-driven decision-making.


Projects in SAAS-based company 

• Engineered and supported 50+ completely automated ETL jobs using Airflow, Python, and SQL (Clickhouse, MySQL, Postgres, ElasticSearch).
• Redesigned data pipelines that helped to optimize execution time by 50%
• Provided sales and marketing teams with required data for different campaigns. The churn rate decreased to
12%
• Led documentation of processes and data solutions

Projects in the outsourcing agency (the largest partner of Google in APAC region) 

• Built a series of Marketing Dashboards for Korean automobile manufacturers using Data Studio/Looker.
• Implemented statistical analysis of the website events to identify key business actions that drive the business using GCP (BigQuery mostly), GMP (CM360, DV360, SA360, Google Analytics (UA + GA4), and GTM)
• Assisted in implementing a machine learning model to identify users with a higher probability of conversion.

Projects in the telecom company

• Enriched DWH with 100k houses data on competitors’ technical capabilities by integrating a self-designed scalable web crawler.
• Collaborated with the marketing and data team to satisfy analytical needs by building both large systematic reports and small custom pieces.
• Developed and supported data infrastructure and ETL processes
I prefer not to work with companies in the gambling, betting, alcohol, and tobacco industries due to personal values and beliefs.