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Senior Backend / Betting Data Engineer

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  1. 1117    4  0
    25 days2500 USD

    Hello!

    I understand how demanding this field is, and I have created backend systems that work with betting lines, ensuring fast processing of odds and scalable event matching. My experience is based on developing real production tools that received data from multiple providers, normalized teams and markets, and implemented stable arbitrage logic and value detection with fast update cycles. I enjoy turning complex streams of odds into clear signals, and one idea that often helps my clients is a small internal monitor that visualizes the state of the feed in real time, so they can identify delays or a decrease in the number of providers before it affects alerts.

    https://storyai.cc
    https://oscarstories.com

    I can tell you in detail about the data processing, normalization rules, update timers, and the logic I use to find connections within a single provider.

    I can also prepare a short demonstration or an architecture snapshot if that helps you make a decision faster.

    Thank you!

  2. 307  
    30 days3000 USD

    Hello.
    I have real, hands-on experience developing betting data systems, including work on https://xmax.is, where I integrated EveryMatrix OM Feeds to ingest live/pre-match lines, normalize markets/teams, and maintain low-latency odds updates. I have built pipelines for odds ingestion, comparison within a provider, real-time arbitrage/value-bet detection, and stable live processing with correct session and feed handling. For your project, I will design a high-performance backend that unifies provider lines, achieves 1–3 sec SLA updates, and delivers accurate arbitrage/value signals with full normalization and smart feed logic.

  3. Another 2 proposals concealed

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Client
Aleksandr Gavrikov
United Kingdom United Kingdom
Project published
6 months 1 day back
157 views
Tags
  • Data Normalization
  • Odds API
  • Betting Aggregator
  • Odds Ingestion