Wajahat A.

I am a Web Scraping & Data Engineer specializing in low-latency, real-time data extraction, WebSocket data feeds, betting and odds automation, cloud-based pipelines, and GIS data engineering. I help clients collect, process, and stream high-volume data from dynamic, protected, and real-time websites reliably at scale, with a strong focus on speed, accuracy, uptime, and production-grade stability. What I Do Best: 1) Real-time web scraping with millisecond-level latency 2) WebSocket discovery, interception, and live data relay systems 3) Betting and odds scraping, automation, and real-time market tracking 4) Automated betting workflows including odds updates, event tracking, and fast-changing market data 5) Handling authentication-protected platforms with session management and token refresh 24/7 production-grade data pipelines with monitoring and fault tolerance 6) GIS and spatial data processing (GeoJSON, PostGIS, zoning and parcel data) 7) Cloud-native automation using AWS, GCP, Azure, Docker, and serverless systems Proven Experience: 1) Built a low-latency WebSocket relay system delivering real-time data in under 50ms for a trading-style platform 2) Developed betting data scraping and automation systems for odds tracking, live events, and sportsbook monitoring 3) Engineered scrapers for dynamic React and Next.js applications using internal APIs and WebSocket channels 4) Built automated betting workflows for continuous monitoring of odds movement and market updates 5) Developed cloud-based scraping systems using AWS Lambda, Docker, Playwright, and Selenium 6) Created GIS data pipelines transforming spatial datasets into GeoJSON and integrating with PostGIS and cloud storage 7) Automated scheduled scraping workflows integrated with APIs and Google Sheets Clients consistently describe my work as fast, reliable, production-ready, and highly scalable, with many long-term collaborations.