Position: data engineer
Category: Data Engineer
English level: upper
Years of experience: 1


Skill Highlights
• Experience in SQL (PostgreSQL, Oracle, MySQL)
• PL/SQL (Procedures, Functions, Packages, Cursors, Triggers)
• Data warehouse design (Kimball , Inmon Approach)
• Have some experience using Python • Manual ETL
• Basic in AWS (S3, Athena, EC2, Redshift )
• PowerBI (reports, DAX basics)
• Upper-Intermediate English level 
• IBM Cognos tools

Experience

BI Developer – December 2021 – October 2022
VEO Worldwide Services 
• Part of a of 5-person team that is responsible for designing and creating data pipelines for company products
Working mostly with IBM services namely: 
• IBM Cognos Analytics (creations, managing and maintaining dashboards, reports)
• IBM Cognos Transformer (creation of a multi-dimensional model: a business presentation of the information in one or more different data sources that share common data)
• IBM Cognos Framework Manager (creation of the business model of metadata derived from one or more data sources)
• IBM Cognos PowerPlay (cubes creation based on a multi-dimensional model)

Education

EPAM Data Engineer internship – June 2021 – September 2021 
• Four months of full-time lab training with lectures and daily tasks.
• Intense training covering all essential tools and Data Engineer practices.
• Data warehouse design (Star schema basics , Dimension and Facts basics, ETL).
• Oracle DB for DWH and ETL (Oracle Join Methods, Partitioning, Merge, PL/SQL).
• Python basics. 
• AWS basics (S3, EC2, Redshift, Athena, DynamoDB, Cloud Formation, Cloud Watch).
• Power BI (reports best practice, DAX basics).
• Working with Jira.