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High-load Node.js and data-platform engineering at Bright Data

High-load data platform for searching, collecting and storing web data at massive scale, serving around 10 million unique users daily.

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Role and system context

Vladimir worked as a senior web and full-stack developer on a high-load data platform, using Node.js, Express, MongoDB, Redis and React. The portfolio describes a product context of around 10 million daily unique users; that is platform scale, not a personal performance claim.

Engineering contribution

Responsibilities included REST APIs, frontend-backend integration, caching, backend performance work, database scaling, code review and architectural decisions. The practical problem was to keep user-facing data workflows responsive while avoiding unnecessary repeated work in backend services.

Evidence and boundaries

This case documents responsibilities and the system context. It does not publish a reproducible performance benchmark or attribute the platform’s overall traffic to one engineer. Private client data and internal implementation details are not reproduced here.

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