Dennis Gaidukov

Engineered a Kafka-based automated data pipeline for automated data intake and real-time result delivery. Optimized the core what-if scenario computation engine, reducing processing time to approximately one-third of the original execution time.

Improved event pipeline throughput by 267%, increasing processing capacity from 150k to 550k events per hour. Designed and implemented a Margin Hierarchy framework and integrated ICE Risk Model 2 into the core risk calculation pipeline.

Integrated third-party hotel booking providers and corporate virtual card payment systems. Contributed to development of an internal distributed tracing tool, reducing debugging time for cross-service issues.

Designed and developed scalable Python-based backend solutions in the oil & gas domain. Built a custom integration layer between ML models and oil well simulation software, enabling automated data exchange and processing.

Developed and extended cost analytics functionality for AWS, GCP, and Microsoft Azure. Built a utility for processing multi-GB ZIP archives using streaming and chunk-based decompression, eliminating high memory usage.

Worked on Arcus, a browser-based taxi dispatch system, using Python, Django, Flask, MySQL, WebSockets, jQuery, and Bootstrap.

Worked on a social network for athletes using Python, Django, MySQL, jQuery, and Bootstrap.

Delivered independent software engineering engagements for international clients, working directly with stakeholders from requirements clarification through implementation and delivery. Built and maintained Python-based backend systems, APIs, integrations, automation solutions, and web applications.

Completed the Cybersecurity for Web Developers certification in 2023.

BSc in Computer Systems and Networks from Kremenchuk Mykhailo Ostrohradskyi National University in Kremenchuk, Ukraine.

MSc in Software Engineering from the University of Information Technology and Management in Rzeszów, Poland.