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Online Travel Agency (OTA) Platform

Web-based travel booking platform enabling users to search, compare, and book flights from multiple airlines and GDS systems

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A comprehensive travel booking platform integrating multiple airlines (Novo Air, US-Bangla Airlines, Jazeera Airways, AirAstra, Air Arabia, IndiGo) and Global Distribution Systems (Amadeus, Sabre, Travelport). Built with scalable microservices architecture to handle high-volume flight searches and bookings.

What it does

A multi-tenant OTA platform that lets travel agencies search, compare, book, and manage flights, hotels, holiday packages, and other travel services. One codebase serves multiple client brands with isolated configuration, supporting both B2B and B2C business models.

Scale

  • 6 live client brands — TripLover, TravelChamp, FirstTrip, TakeTrip, TakeOff, and TripLover Dubai
  • 36+ services in the ecosystem, built for high availability and fault tolerance
  • 30 integrated GDS/NDC suppliers — a single flight search fans out to all of them and returns 200-300 feeds spanning 40-50 unique airlines
  • Airline and GDS coverage including Amadeus, Sabre, Travelport, Novo Air, US-Bangla Airlines, Jazeera Airways, AirAstra, Air Arabia, and IndiGo

My role

I architected and led development of the multi-tenant SaaS platform. Beyond the core architecture, I:

  • Led the migration of the core database from SQL Server to PostgreSQL, cutting licensing costs and unblocking Linux hosting
  • Migrated 8 legacy .NET Framework applications to .NET Core for cross-platform deployment
  • Built an automated xUnit API integration test suite covering 30+ supplier integration projects
  • Integrated APM monitoring with Elasticsearch-based structured logging, cutting production failure rates by 30%
  • Implemented Progressive Search, Search Ranking, Universal Split PNR, Refund Reissue, and PNR Details
  • Contributed to CI/CD pipelines and code reviews, and mentored new team members

Why this stack

A modular monolith on .NET Core rather than full microservices — the modules share a deployment boundary while staying independently maintainable, which suits a platform where a single search has to coordinate 30 suppliers with low latency. Dapper over EF Core keeps the hot search path close to raw SQL. RabbitMQ decouples the long-running booking and ticketing workflows, with MSSQL and MongoDB each serving the workloads they fit.

Live Demo

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