Position: Middle Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 3

Not sure that statements like "performance increased by 42%" are worth to be added here, cause no one knows what and how something was implemented before.  

Anyways, I've got some certifications in Python, SQL and Data Engineering fields from DataCamp in my LinkedIn profile.
- Participated in designing and implementing real-time ELT pipeline to process semi-structured data from Apache Kafka to PostgreSQL using Python and its libraries;
- Wrote lots of SQL procedures and functions in Postgresql that process, enrich the data received from Kafka;
- Created APIs using PostgREST in order to data in database was accessible from outside;
- Developed a generic Python application that loads data from a database and puts it on either Email or SFTP server in CSV format;
- Created pipelines that archive data from PostgreSQL to Google Cloud Storage daily;
- Utilised Apache Airflow as a tool for triggering data pipelines periodically and continuously;
- Implemented real-time ETL pipelines that loads data from Kafka to Google BigQuery;
- Participated in designing data warehouse solution in Google BigQuery and wrote lots of SQL procedures and functions that loads data into the DWH;
- Implemented a Python application with Pandas that loads data from multiple data sources, compares it and sends the results of comparison to email;
- Created many reports and dashboards using  JasperReports tools which are sent to the clients' emails everyday.
I want to improve my skills in Data Engineering field, especially focusing on the cloud products. And if your company provides any help with preparing or/and getting any AWS/GCP certifications then I will consider them at first.