Summary
Aleksei Skakhin is a seasoned Data Engineer with 13 years of experience building and optimizing ETL pipelines, SQL and Spark workloads across on-prem Hadoop and cloud platforms (Yandex, Azure). He combines deep performance-tuning expertise—from Oracle and SAP systems to Spark, Hive and YARN—with hands-on streaming and CDC work using NiFi, Debezium and Kafka in production. At Lenta and KORUS he automated data ingestion, quality checks and monitoring for multi-hundred-terabyte clusters and implemented PySpark streaming aggregations for factory sensor data. Comfortable writing CI/CD for infrastructure and data code, he also mentors new engineers and conducts technical interviews. Based in Vienna, he brings a pragmatic focus on observable, performant data platforms and a track record of turning complex legacy systems into scalable ELT pipelines.
13 years of coding experience
15 years of employment as a software developer
Specialist, Computer Software Engineering, Specialist, Computer Software Engineering at Vologda State Technical University
Русский, Английский, German