Involved in designing and migration of billion dollar booking stack from monolithic chunk to microservices. Worked on design and development of domain service including performance testing, traffic migration, statistical comparisons. Success rate is ~.72% better in new stack and success rate of post booking retrieval is 99.98% which constitutes 49% of entire traffic on booking servers.
With an aim of achieving elasticity of servers and granular investment tracking of infrastructure, participated in migration of domain services from the data center to AWS. Focussing on hybrid stage challenges e.g. latencies between datacenter and cloud.
To avoid fetching static data from Relational DB while booking hotel. Proposed, Designed and Delivered production ready Redis Cluster. TP99 of data retrieval is ~3ms. Currently serving as SME on the solution.
Designed and currently involved in delivering cloud native solution to clear Fraud Suspect Hotel Bookings. Booking is either cancelled or marked as legitimate within specified duration. Partners are then notified for legitimate bookings.
Provided solution to partners to search for booking in their hotel based on customer details through RESTFul API. This feature ranks top based on its usability. Delivered concept-to-completion web service in <7 months getting a live traffic of ~10TPS. Played crucial role in CI-CD pipeline, preparing build script and load testing. Later to track partners are aware of booking done in their hotel designed and delivered confirmation REST API in ~ 2 weeks, which acts as an acknowledgement from partners.
Facilitated post booking settlement for Partner collect Hotels by providing RESTFul API enabling partners to edit/confirm booking as per customer stay. Finalized the design and delivered MVP in ~2 months facing live traffic of ~5TPS. Later proposed and delivered RESET functionality, which nullifies recent changes that have been made on a booking.