Denis Neustroev
Data Engineer
Yekaterinburg, Sverdlovsk, Russia
Summary
👤
Senior🎓
Top SchoolDenis Neustroev is a data engineer with eight years of experience building and optimizing data platforms for retail and finance, currently driving Spark-based pipelines and cloud migrations at Магнит in Yekaterinburg. He has hands-on expertise moving workloads from Teradata and Hadoop to Yandex Cloud, translating complex SQL calculations into scalable PySpark jobs and creating reusable pipeline packages used across projects. Denis has implemented near real-time architectures with Debezium, Kafka, and Spark Streaming, and has operationalized analytics stacks including Delta Lake, ClickHouse, Druid, and Airflow. He mentors junior engineers, leads code reviews, and codifies best practices through shared repositories and metadata tools like OpenMetadata and Spline. Known for pragmatic problem-solving, he combines a data-scientific background with strong engineering discipline to turn legacy processes into auditable, production-ready data flows.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Information systems and technology, Bachelor's degree, Information systems and technology at Ural Federal University
English, Russian
Github Skills (29)
transformers10
pytorch10
python10
data-science10
image-processing10
imagenet10
semantic-segmentation10
machine-learning10
image-segmentation10
deep-learning10
segmentation10
computer-vision10
segformer10
tensorflow9
jax9
Programming languages (3)
Github contributions (5)
Den4ikNestor/Towards_Adventures
Apr 2018 - Jun 2018
Contributions:1 release, 11 commits, 9 pushes in 2 months
denstern/Drafts
Jan 2019 - May 2020
Contributions:18 pushes, 1 branch in 1 year 4 months
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