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


Summary:

Data Engineer with 3+ years of experience. Extremely interested in building reliable data systems capable of delivering business value. Team player and respectful colleague, fast learner and attentive to details.

Professional Experience:

Data Engineer
Playrix - remotely from Georgia
Jan 2022 - Present
- Working with ETL based on Airflow and Luigi with notifications to Slack.
- Using data lake and data warehouse principles in AWS - infrastructure (s3 and Redshift).
- Using other AWS tools to optimize work of engineering: Athena+Glue for structuring raw data, Lambda functions, CloudWatch for logging, ParamStore for confidential data, DynamoDB and others.
- Set up a lot of APIs with different data formats.
- Developing full-stack systems for analysts to simplify work with various API using Django and Javascript (for example, to simplify the management of creatives, ad bidding rates, etc.)
- Using complex SQL queries, views and query plans.
- Using dbt as the main tool for working with tables and views.
- CI/CD in TeamCity and GitHub.
- Full-fledged work with Git (pull requests, code review, etc.).
- Kanban methodology in Asana.

Data Engineer
DominiGames - remotely from Georgia
Sep 2020 - Dec 2021
- Automated data flow from scratch, integrated main stores - Google Play, App Store, Amazon, Steam and Windows Store.
- Set up the data flow from the Adjust mobile attribution system. The data was exported to Google Cloud Storage and then uploaded to the company's server.
- Configuring API for advertising networks.
- Set up Clickhouse (at the time of employment, Postgresql was functioning in the company, which did not cope well with analytical data).
- Worked closely with Tableau to create dashboards and data sources for them.
- Interacted with Firebase and BigQuery.
- Trained junior data engineers.

Data Scientist
BELTEL
Feb 2019 - Sep 2020
Successfully completed projects:
- An optimization system based on a neural network that minimizes losses in the sugar production process. Bonus: got a master's degree from my university with this project.
- Recommendation system for retail to predict the demand of goods for the period of promotions.
- System for a food distributor for optimizing supplies by using product similarity.
- Analytical system for monitoring deviations from the set modes.
Tools used: PostgreSQL, Flask/Django, Python (pandas, numpy, matplotlib, seaborn), Machine Learning (lightGBM, sklearn), Deep Learning (keras), Dash/Plotly, Azure