Position: Senior Software Engineer
Category: Data Engineer
English level: fluent
Years of experience: 7

Goals:
- improve my current knowledge about Big Data
- learn more about Real time streaming process
- improve ML skills
Competence:
• Methodologies: Object-Oriented Programming, Agile Modeling, XP, Scrum, Kanban
• Languages: Java, Python, Groovy, Perl, Scala 
• Databases: PostgreSQL
• Tools: IntelliJ IDEA , PyCharm, Android Studio, Eclipse, Sublime Text, Jira, Trello
• Version control: GIT, SVN, ClearCase
• Other: Regex, MOO, JSE, JDBC, JSON, XML, HTTP, REST, Jenkins, GitHub API, SOAP, AWS(EC2, S3, 
Lambda, EMR, Step function, OpenSearch, RDS Postgres, Glue, DynamoDB), Databricks

Have experience in different types of Projects:
1. Android application for dating site(Andorid developer)
2. Improvement and support for GSM environment(3G and 4G)(Software developer)
3. Localization(Lead Software developer)
4. Big Data(Senior software developer)

Current position:
Project: Data Lake, Finance
Team Size: Dev Team: 7, PO:1
Project Role: Software Engineer
Tasks performed:
• design ETL process for ingestion data into Data Lake(Databricks)
• design ETL process for consuming data from Data Lake
from Data Lake into Snowflake
• developing
• testing
• planning
• customer communication

Interesting in Big Data projects or ML.
Expectation:
- friendly atmosphere
- less bureaucracy
- less meetings
- competence team