I am a Data Engineer with more than three years of experience building and scaling data platforms for high-volume fintech, payment, e-commerce, and digital pharmacy environments. I specialize in the Hadoop ecosystem and use Java and Scala to develop reliable, scalable data solutions.
I design and support Data Lake architectures, Spark-based ETL and ELT pipelines, and near-real-time streaming systems. My experience includes Apache Spark, Kafka, HDFS, SQL, S3, Airflow, Kubernetes, Git, and Linux.
I have delivered measurable performance improvements in production data workflows. In one case, I refactored a critical reporting process from a two-to-four-hour runtime to five-to-ten minutes, enabling near-real-time business insights.
I also have experience migrating batch ETL workloads to streaming architectures. I migrated core daily jobs to Kafka and Spark Streaming pipelines, reducing data latency from 24 hours to under 10 minutes for live marketing dashboards.
I have worked on data reliability and governance capabilities, including HDFS table versioning, point-in-time queries, rollbacks, and real-time audit logging through the ELK stack. I am continuing my education in Computer Software Engineering while building toward more senior data platform engineering responsibilities.
I communicate effectively in English and Russian and have teaching experience in Python, data analysis, and mathematics. I am interested in remote data engineering roles where I can contribute to scalable data platforms and real-time analytics systems.
I architect a modern S3-based Data Lake ecosystem to replace legacy storage and improve centralized data access and reliability for downstream analytics.
I develop scalable Spark ETL and ELT pipelines. I also migrated five core Airflow batch ETL jobs to a near-real-time Kafka and Spark Streaming architecture, reducing data latency from 24 hours to under 10 minutes for live marketing dashboards.
I developed HDFS table versioning procedures using Scala and Apache Spark. This enabled point-in-time queries and reliable rollbacks for more than 50 critical production tables.
I built a user action logging service for a new data framework. The service streamed events into the ELK stack to establish a real-time audit trail for monitoring and compliance checks.
I built and maintained more than 15 Spark ETL pipelines in a multi-terabyte data environment. These pipelines processed high-volume payment data for financial and analytical reporting.
I refactored a critical reporting process and reduced its end-to-end runtime from two to four hours to five to ten minutes, approximately a 12x improvement. This enabled near-real-time business insights.
I led seminars and graded assignments for Data Analysis with Python and Mathematics courses.
I supported students in developing foundational analytical, programming, and mathematical skills.
I taught Python fundamentals to students aged 9 to 13 in English-language workshops.
I delivered introductory programming instruction and helped students develop practical coding skills.
Bachelor's Degree, International Relations
Bachelor's Degree in International Relations. GPA: 4.4/5.
Master's Degree, Computer Software Engineering
Master's Degree in Computer Software Engineering, currently in progress.
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