Position: Big Data Architecture Lead/CTO
Category: Lead
English level: fluent
Years of experience: 11

I participated in dozens of successful projects big and small, including the experience of selling startups and preparing for an IPO. Example of personal engineering (architectural) achievements (the last five years):
- has developed a new successful product with the use of NLP and ml approaches even before the advent of linguistic corpora in German;
- took part and made a recognized contribution as the team data architect into the start-up, acquired by the deca-unicorn company;
- took part as a data architect into design streaming ETL system to support domain-specific ML-based lead generation and forecasting system of a deca-unicorn company;
- took part as a cross-team dedicated tech lead in the implementation of GAAP/management reporting system of a deca-unicorn company.
For more than fifteen years, I  successfully led complex projects with small and big teams as a cross-team architect, tech lead, engineering lead, managing a wide range of aspects of software development, process, and methodologies.
I am a hands-on technology expert in different verticals and stacks:
Summary
15+ years of working experience in Data Engineering. 
Strong analysis, problem-solving, mathematical, leading, and tutoring skills. 
Ability to quickly understand the project and to work on time and a high level of organization.

Core skills
- Python (Django, Tornado, Flask, SciPy, Scrapy, Dask, luigi, Airflow, Ray)
- Scala (Play, Akka, Spark, ScalaNLP)
- SQL (PostgreSQL/Greenplum, MySQL/MariaDB, Oracle)
- NoSQL (Cassandra, HBase, Redis, Sesame, ElasticSearch, Neo4j, Snowflake)
- ML (scikit-learn, Keras, TensorFlow, PyTorch, Transformers, H2O, Spark ML)
- Lang/systems/clouds: C, С++, Java, Go, Hortonworks Data Platform, Kafka, Hadoop,  Spark, Druid, PrestoDB, Hive, AWS, GCP, Azure.

Domains: big/quick data, hi-load, ML, distributed system architectural design implementation. 
Verticals: finance and payment, realty, automatic control, mobile ads, corporate law, M&A, statistical process control, project management, sales.
Preferable big data/geospatial/ml project (Scala/Python/Go stack) 
Medium-sized or large cross-functional team(s)
Interesting domain and product that addressed the >1B market