Position: Big Data Engineer
Category: Data Engineer
English level: intermediate
Years of experience: 1

I've been engaged in ETL projects holding responsibilities of setting up fault-tolerant and reliable environments with Docker containers, extracting and delivering data from various sources for further processing using Kafka and Spark, building scalable and automated data pipelines with Airflow, and analyzing data using Kibana.
As a Big Data Engineer, I utilized different tools such as Java, Go, Scala, Python, Pandas, Spark, TimescaleDB, Postgres, Kafka, Azure Cloud, Amazon Cloud, and NodeRed to develop and maintain big data solutions.

- Involved in various projects, including real-time message processing, end-to-end metrics analysis platforms, and building an IoT device analytics platform.
- Gained experience in designing, deploying, and managing big data solutions in cloud environments, resulting in improved efficiency and cost savings for the organization.
- Collaborated with cross-functional teams including Data Science, AQA, Backend, Frontend, and BI to deliver end-to-end big data solutions.
- Participated in interviewing and training junior specialists, contributing to the growth and development of the team.
I have a strong passion to improve business and operational processes by leveraging data, and creating reliable and scalable Big Data Platforms using technologies like Amazon Web Services (AWS), Spark, Scala, Airflow, and many more.