Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2


Project:
Bacardi
Implementation of integration layer on Azure Stack for big retail client. The project was split into 2 parts: initial and incremental data loads: OLTP database -> SAP Gigya -> SFMC
Tech stack: TypeScript, Python, Azure Functions, EventHub, BlobStorage, SQL.

Project:
NDA
Development and maintaining multiple data-pipelines on GCP stack
Tech stack: Spark, Java, Dataproc, Pub/Sub, Cloud Storage.

Project:
NDA
Improving searching experience using ML/non-ML techniques for popular E-Commerce Solution. Working in close cooperation with Data Science team to support machine learning SDLC including feature engineering for ML models.
Tech stack: Java, Kotlin, Spring Boot, Python, AWS, ElasticSearch, Kubernetes, Kafka, Presto, Apache Spark, Redis, PostgreSQL, gitlab-ci, NewRelic, Splunk, scikit-learn.

Project:
OBE, NDC
Worked on Online Booking Engine and adjoined services for Ailines & Tourist services providers. Implemented new microservices, integrated with 3-part systems, development of deployment scripts and infrastructure, bug fixes.
Tech stack: Java, Kotlin, Spring Boot, AWS, ELK stack, PostgresSQL, MongoDB.

Project:
Oioni
Worked in a small team, consisted only of Lead Engineer and CTO on new features implementation, bug-fixing, docker scripts preparation for project in a beauty services domain.
Tech stack: Java, Spring Boot, Spring Data, MySQL, Docker.
Interesting project
Modern technology stack
Good management
Grow professionally