Position: Data Engineer/ DWH Developer
Category: Data Engineer
English level: fluent
Years of experience: 4

Developed and built an internal cloud analytics system from scratch (stack: Apache Kafka - Apache Nifi- dbt -
BigQuery - PowerBI)
- Deployed a secured instance of Apache Nifi on Google Compute Engine vm
- Development of various dashboards in Power BI 
- Modeled DWH using dbt (Kimball approach)
- Connected to various third-party APIs to collect and enrich the data
- Generating and testing various hypotheses for customer acquisition and retention
- Assisting management with everything that concerns data
- Automated report email send out with Google App Script
Google Cloud Certified Professional Data Engineer (02.01.2023) 

Below is the list of tools and technologies I used for various purposes. 


Languages: Python, SQL, DAX (Power BI) & M (Power Query)

Technologies: Apache Nifi, Kafka, Airflow, Apache Beam, dbt, GCP (BigQuery, Compute Engine, Cloud Functions, Dataflow etc.), Git, Docker

BI: Power BI
What I am interested in is working in a company that understands the value of modern cloud analytics and either already has implemented such a system or strives to do so. Ideally, I would like to keep working in GCP as I am quite well-versed in the system. However, if your cloud platform is AWS, I am okay with that - just keep in mind that my experience in this system is not as expansive as in GCP.