Position: Big Data engineer
Category: Scala
English level: fluent
Years of experience: 6

Improved Airflow DAGs by adding parametrized prioritization. Created service to load data with constantly changing schema to data lake for further processing. Together with Data Science team created fraud detection solution for customer using AWS. Created dockerized Python client to load data from customer's resources for further processing (previously it was done manually).
Big Data engineer for retailer company. Tasks: took part in DWH design, created analytic Spark jobs, Python services to load data from different sources. Created fraud detection solution on AWS Stack: Glue, Lambda, Kinesis, Jupiter, Athena, Spark, Python, Java, Jenkins, Kubernetes

  Big data engineer on fintech project. Tsks: create ingestion and analytics jobs, Airflow DAGs. Designed microservice monitoring/notification solution in GCP. Stack: Spark, GCP, Kubernetes, Spring Boot, Scala, Java, Python

  Big data engineer on oil company project. Tasks: create Hive ETL jobs, Spark analytic jobs, Spark ML job to categorize text data, Oozie workflows. Stack: Hive, Spark, Spark ML, Oozie, Java, Scala
Would prefer to work for a product company. Would be great to have small team and new technologies. Prefer not to work with Azure cloud