Pavlo Nesterenko is a data engineer with a decade of hands-on experience building and operating scalable data and Java-based systems, currently developing an AWS-based analytical platform at Luxoft. He blends deep backend Java expertise with modern data tooling—Kafka, Spark, Hive, Kubernetes and Teradata—to orchestrate reliable pipelines that turn shop reports, orders and reviews into actionable analytics. Prior roles at Ciklum, SoftServe, GlobalLogic and NIX exposed him to cloud-native microservices, real-time log analysis for cybersecurity, and full-stack integrations for enterprise customers. Comfortable across Google Cloud and AWS, he consistently focuses on performance, observability and validating results for downstream analytics teams. Trained originally as a mechanical engineer, he brings a systems-thinking mindset to software design and a proven track record of improving legacy systems and delivering production-ready data workflows.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Kharkiv National Automobile and Highway University
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