- Group BWT /
- Authors /
- Oleg Boyko
“Even teams with strong in-house tools face failures—vanishing listings, broken layouts, misaligned pricing—because the expertise to catch these shifts in real time is missing. We step in as integrators, embedding extraction logic directly into the systems and workflows where decisions are made.”
— Data Insights Arena | s1 ep1 | GroupBWT
About me
I lead engineers who design, build, and deliver custom data extraction systems for enterprise clients across the US, UK, and Europe.
We specialize in platform-aware scraping architecture, version-controlled data pipelines, and QA workflows that prevent silent failures and brittle logic.
I help leading global brands in CPG, retail, FMCG, beauty, hospitality, and beyond stay ahead with tailored data extraction solutions—built to give them a competitive edge in today’s data-driven world.
Before joining GroupBWT, I ran a project management office where I streamlined delivery models, reduced failure rates, and introduced systematic QA into custom software development.
Outside of project work, I share my experience through GroupBWT’s blog, join podcasts such as Data Insights Arena to discuss the future of scraping, AI-powered extraction, and anti-bot strategies, and attend industry events like BigData London to connect with partners and clients.
Ultimately, my mission is to transform data extraction from a technical challenge into a strategic asset for our clients, ensuring every solution delivers not just data but a clear growth path.
What I’ve Helped Teams Solve
| eCommerce | I led my team to engineer a data extraction system for a global pricing engine to process over 5,000 daily promo updates from dynamic sites like Amazon and Walmart. This ensured 98% data accuracy, preventing critical revenue loss from pricing errors. |
| Retail | I guided the development of a custom digital shelf monitoring solution that directly led to a 10% increase in online sales and a measurable gain in market share for the client’s key product categories. |
| Beauty & Personal Care | I spearheaded the initiative to create a competitor intelligence platform with a novel AI-based matching system. This project empowered the client to make smarter product line decisions, driving a 15% sales increase in the first quarter. |
| OTA (Travel) | Under my direction, my team developed a system to convert complex travel booking flows into structured data. This enabled our OTA client to identify and fix critical revenue leakage points, saving an estimated $1.5M annually. |
| Logistics | I drove the strategic shift from rigid update windows to a dynamic pricing model based on carrier volatility. My team’s implementation of this model reduced overspending on shipping by 8% and significantly improved quoting accuracy. |
| Automotive | I directed the implementation of a data quality management system for an automotive rental company, which resulted in a 6% increase in fleet resale value and a 14% reduction in new vehicle acquisition costs. |
| Telecommunications | I oversaw the project that delivered a real-time data solution to a telecom leader. This enabled them to validate 22 million addresses, optimizing a €7 billion infrastructure rollout and minimizing costly deployment risks. |
| Real Estate | I led the project to automate manual listing checks for three mid-sized UK agencies. Our solution creates daily data feeds from major platforms, equipping them with faster pricing intelligence to outperform competitors. |
| Consulting Firms | Under my leadership, our team built a tender aggregation platform that empowered a consulting client to achieve a 40% increase in their customer base. |
Education
UC Berkeley – Haas School of Business
Executive Strategy & Leadership Program (2023)
Scaling data-heavy teams and aligning tech with operations
Zaporizhzhya National Technical University
Specialist, Information Protection in Computer Systems & Networks (2010–2015) Foundations in secure protocols and system resilience
Cheltenham High School (PA, USA)
International Business Program (2009–2010)
Early exposure to U.S. business models and cross-functional logic
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