Position: Senior Data Engineer (big data, back-end)
Category: Data Engineer
English level: fluent
Years of experience: 5

Through two successful stack migrations, I have honed my ability to learn new technologies at an impressive pace, taking just 0.5 months instead of the typical 1 month timeframe. My passion for rapid skill acquisition has resulted in a diverse skillset, enabling me to adapt to ever-changing technology landscapes with ease.

I have also taken the initiative to create a comprehensive project on-boarding guide for newcomers. This guide, which covers everything from opening their laptop to making their first commit to the corporate repository, has led to a remarkable increase in project involvement speed. The average time frame has been slashed from 2 months to just 1 month, resulting in significant improvements in productivity.

Additionally, I have developed a Proof of Concept (POC) titled "Spark: Comparison of data storage formats", which has increased overall productivity by an average of 20%. My dedication to innovation and efficiency has been a driving force behind my accomplishments, and I am always eager to tackle new challenges and push boundaries.
With a wealth of expertise spanning 5 years, I have successfully implemented Big Data solutions for leading retailers and media companies in the United States. This includes the development of projects from scratch, building of data pipelines with batch and stream processing, and adjustment of infrastructures while integrating external systems. My proficiency in Scala, Python, and Spark stacks based on GCP, AWS, and Airflow have enabled me to deliver tailored solutions that meet my clients' unique needs.

My skills extend beyond Big Data, with experience in Back-End IoT software systems utilizing Scala stacks and developing low-level protocols. I have also amassed 8 years of experience in electronic devices, further bolstering my technical expertise.

Mentoring engineers comes naturally to me, and I take pride in developing the next generation of experts. I have received positive feedback from my teammates, who acknowledge my contributions as a collaborative team player.
Preferable main languageы Scala, Python.
Nice to have: IoT, HealthCare domains