Position: Data Engineer \ DBA \ Data Analyst \ BI
Category: Data Engineer
English level: fluent
Years of experience: 6

I take pride in building reliable data pipelines "from scratch" for several international companies.
Self-educated in Python & Big Data, so whenever I join a new project - I can learn its new technologies and adapt all by myself, no baby-sitting required))
Skills: Data Processing and Analytics (10+ years)
SQL (SQL Server, MySQL) – 4 years
AWS (S3, Athena, Redshift, Databricks) – 2 years
ETL pipelines (SSIS, Databricks, PySpark, Airflow) – 2 years
BI dashboards (Looker, PowerBI, Tableau) – 3 years
DBA (SQL Server) – 1 year
Foglight, Powershell, Google Colab, Jira/Confluence, Git, Jenkins.
NLP and Text Mining (spaCy, gensim), web parsing (requests, selenium).

Collaborative, flexible, passionate to evolve, face new territories and challenging tasks.

Some of my projects: 
- top-10 computer parts vendor
- top-10 Online Video Platform
- major Forex broker with worldwide coverage.

I prefer projects which do not just utilize my superpowers, but also allow me to master new ones and grow as professional. 

My passions: fine-tuning convoluted systems, finding bugs in them, polishing them to perfection. 
Studying data to discover hidden patterns behind it, improve understanding of real processes and people, and ultimately provide valuable insights which can lead to tangible results.
Challenging data-related tasks; 
Opportunities & motivation for self-development and learning new cutting-edge big data technologies;
Chance to extract valuable insights from data, which will influence decision-making;
Efficient & fast communication with the team, ability to ask many questions in order to get deep understanding of the product and business.