- Group BWT /
- Authors /
- Alex Yudin
“The real frontier isn't AI or the Cloud—it's data truth. I architect platforms and lead teams to convert high-volume, fragmented web reality into a single, reliable source of insight that drives market-defining growth.”
About me
I’m a Data Engineering professional with 7+ years of experience turning fragmented data into clear, reliable insights. My focus is on engineering scalable data platforms—from cloud architecture and team leadership to the specialized challenges of Web Data Acquisition.
Scraping systems, for example, don’t fail because the code is bad. They fail because the architecture doesn’t account for how platforms change. As a Data Engineering Leader, I focus on systems that don’t just run, but hold under pressure, change, and scale
Core Focus Areas:
| Data Strategy & Platform: | Architecture, roadmaps, cost optimization, and cloud security criteria. |
| Scalable ETL/ELT: | High-volume data processing and systems integration (Shopify/SFCC, CRM, POS/EDI). |
| Data Lakes & Warehouses: | Implementation and optimization using Snowflake and Databricks. |
| Advanced Web Data Acquisition: | Custom scrapers, retail/marketplace feeds, and bot-evasion engineering. |
| BI & Insights: | Deploying reporting solutions (Power BI, Looker, Tableau). |
What I’ve Helped Teams Solve
Platform Architecture & Engineering Leadership
My experience spans the full lifecycle of data platform development, from strategy to reliable delivery.| Technical Leadership: | Led end-to-end technical architecture, designing and implementing scalable cloud-based data platforms supporting high-volume data processing and real-time analytics. |
| Process & Reliability: | Established core engineering processes, including CI/CD, DevOps practices, release management, and system reliability standards. |
| Team Building: | Built and mentored high-performing engineering teams, driving technical excellence and setting transparent processes for prioritization, on-call duties, alerting, and cost control, ensuring reliable delivery even with capacity constraints. |
| System Design: | Architected data infrastructures from scratch using modern data stacks, with a focus on practical solutions that keep data uncluttered, attainable, and ready for business decision-making. |
Advanced Web Data Acquisition
I specialize in overcoming production-grade scraping challenges where platforms actively resist data extraction.| Adaptive Systems: | Engineered adaptive scraping pipelines that handle platform drift, multi-device markup changes, and block-heavy environments at scale. |
| Evasion & Security: | Developed safe-mode scraping logic that avoids honeypots, cloaking, and fingerprint traps, including solutions for Mobile app scraping with TLS pinning and dynamic auth. |
| Front-End Complexity: | Solved data extraction from JavaScript-rendered sites with reactive and session-locked states, as well as complex CAPTCHA-heavy pages and headless detection. |
| Pipeline Utility: | Structured pipelines that include observability, dynamic retry logic, and fallback modes, supporting advanced use cases like AI/LLM fine-tuning, search engines, and data product development. |
Education
Zaporizhzhya National University
2010–2015
Master’s Degree in Applied Mathematics – Focus: algorithmic stability, front-end complexity, and JS-based variability
