Position: Data Engineer, Data Scientist
Category: Data Engineer
English level: fluent
Years of experience: 4

- Led and developed numerous BI projects that were used to find anomalies, to optimize data warehouse / ETL processes, logistics and resource management for DAX companies
- Saved costs and operational overhead by supporting migration from Power BI, Tableau, Cognos and Superset to Qlik Sense
- Received positive feedback and 5* reviews from the happy clients on Clutch
- Led several business development initiatives to help the company expand their client portfolio
PROFILE:
I have 4+ years of building Data Analytics for different business departments of the DAX companies as well as 5 years of working with complex data in Academia (Postdoc and PhD). I am interested in building Cloud and Big Data Analytics solutions

SKILLS:
My expertise includes identification of requirements, architecture, data modelling, DWH, ETL and visualization from the concept phase to the production. Qlik Sense, SQL, AWS,
GCP (Data Analytics stack), Dataiku
I am looking for remote / part time projects in Data Engineering with a possibility to develop my skills futher. Industry is not very important, however Pharma/Biotech would be preferable. My core competence is Qlik Sense (ETL, DWH, data modelling, data visualization), however I am searching for projects, where i would be able to improve my skills in AWS / GCP / ML