Data Engineer & DevOps Specialist
I'm a passionate Data Engineer and DevOps Specialist with over 2.5 years of experience building scalable data pipelines and automating cloud infrastructure.
My expertise lies at the intersection of data engineering and infrastructure automation. I design and implement end-to-end data solutions, optimize analytical databases, and migrate BI ecosystems.
Methodologies & Soft Skills:
Value to the team: I don't just build pipelines - I create reliable, scalable, and observable data infrastructure that enables businesses to make faster decisions while teams spend less time "fighting fires." My solutions are measurable in speed, stability, and resource efficiency.
I possess organizational skills and leadership qualities. I follow the "Lifelong learning" concept - continuously acquiring new skills and knowledge. I adapt well and work excellently both in team settings focused on results and on individual tasks. I'm non-confrontational.
Currently pursuing my Master's degree in "Neural Network Technologies in Automated Control Systems" at Tyumen Industrial University.
Built scalable pipelines integrating Oracle DWH, Excel/CSV files into ClickHouse, reducing report preparation time from hours to minutes.
Migrated BI reports from Qlik Sense to Apache Superset, maintaining business logic while reducing licensing costs and accelerating new report deployment by 40%.
Built CI/CD pipeline on GitLab CI automating Docker builds, Kubernetes deployments, DB backups, eliminating 85% of manual operations.
Name: Marina Zaporozhets
Specialization: Data Engineer & DevOps Specialist
Age: ... years
Available for: Remote work, relocation
Expected salary: from 250,000 ₽ net