Position: Data engineer / Software developer/ Machine learning ops
Category: Data Engineer
English level: intermediate
Years of experience: 6

Over 7 years as Software Engineer.
Master's degree in Data Science (UCU master's program).
Google Cloud Data Engineer certification.
Built many distributed data platforms.
Geek and hacker. I like to read tech books and investigate new (old) technologies.
Good father :-)
Several projects:
- A distributed application that analyzed Instagram data (text/photo/meta info) and produced the most important features for engagement rate (correlation features). Stack: Python/TensorFlow/Scikit-learn/Kubernetes/GCP
-  Distributed cloud application that makes anomaly detection and forecasting sales in retail data. Stack: Python/Scikit-learn/BigQuery(1TB of data)/online re-train
- Cloud stream infrastructure (and partly application) for sentiment analytics tasks and fake detection. Stack: Python/Apache Beam/Kubernetes
- Distributed cloud application (batch and stream) and infrastructure for crawling web pages.  Stack: Python/Scrapy Cluster/Apache Airflow/Apache Spark/Apache Kafka/Hive(as a data warehouse)/Kubernetes/GCP.
- Provided new approaches for improving data validation and monitoring data processing (near real-time). Stack: Python, Apache Airflow, Apache Spark, Grafana/PostgreSQL/Kubernetes/GCP.
- Distributed event source architecture. Stack: Java, Apache Kafka, Kafka Streams, Kubernetes, GCP.
I'm more interested in itself project that I'm solving than in various "cookies" in the company. For example, I would prefer a small and little-known company that solves a cool and challenging problem instead of a well-known company with a ton of "cookies" and boring tasks.
I prefer small teams.
I like to know business information about a task. What business goal am I solving, will this solution really solve it, how can I check this in the future, what is the specific benefit of the current task, and so on? The ratio is 80 (technology) / 20 (management).
I prefer projects in which I can do something new, but not more than 30-40% of all time.