Position: Data Engineer / Python
Category: Data Engineer
English level: upper
Years of experience: 6

Made batch and streaming loading Data Warehouses.
I've built ETL systems from start to finish in both Clouds oriented (GCP) and Server oriented formats.
Configure development and production server for the backend data pipeline on AWS instances (S3 bucket, RDS, Redshift).
Created the application architecture and DataBase that laid the foundation of the new app.
Certified Google Cloud Platform Professional Data engineer (Date of receiving January 11, 2022) 
The main domain of experience: Production, e-commerce, medical.

Worked on:
- Designing and creating ETL/ELT process and data infrastructure for product companies.
- Development of data pipelines and pre-processed data with dbt(Data Build Tool), Airflow including Hadoop.
- Made data analytics, building complicated reports with forecasting and data visualization (Metabase, Looker, Chartio, Tableau).
- Mainly work with Google Cloud Platform (BigQuery, Task, Functions, SQL, Dataflow, Spark, Composer, Pub/Sub) also, have experience with AWS (EC2, S3, RDS, Lambda, Redshift).
- Had been implementing logic for the Python backend (Django, Flask, Cloud Function) and JS frontend.
- Database and Data Warehouses design (PostgreSQL, MongoDB, BigQuery, MS SQL).
- Strong SQL data manipulation and processing expertise.
- Have working experience with Terraform and Ansible

Familiar with Agile and Scrum project management methods.
Worked with teamwork systems: Trello, Jira, Assana.
Used in teamwork: Slack, Google Meet, Discord, Microsoft Team.
I`m looking forward work with experienced software and data developers, and learning and implementing modern tools and technologies.
Expect to work with: GSP, Python, dbt / Airflow, engineering/tuning data pipelines, and data analytics.