Position: Senior Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 3


Certified AWS Associate Developer,
Certified AWS Associate Solutions Architect,
Certified GCP Professional Data Engineer,
Took part in Snowflake certification prepering tranings

>1 year of freelance experience (web-dev, not considering it anymore)
~3 years of commercial experience, 2 big projects:
1. On-premises ETL migration project
Stack: IBM DB2(source), MariaDB(target), Talend Studio for Data Integration (ETL tool), Liqubase, Jenkins, Docker, Python (for automating manual tasks), Git/GitLab, Jira

2. Building Data Lake in cloud environment
Stack:
AWS Services: Redshift, Redshift Spectrum, S3, Athena, Glue, CloudFormation, SNS, Lambda, CloudWatch, SQS
Other: Python, PySpark, DWH, PostgreSQL (Redshift version), Jenkins, Git/GitLab, Jypyther Notebooks, Jira

Other activities: technical interviewing (~30), mentoring (1 to 1 in company, 1-to-1s on a project KT (6 times), mentoring team after company Data courses), experience in community speaking (1 company event, couple of project-related events), driving and facilitating SCRUM meetings

Detailed description available in CV, just message me)
Cloud-based BigData projects (AWS, GCP, Azure)
Not interested in on-premises tech stack