Jul 2022 – Sep 2023 · 1 yr 2 mos · India · Hybrid

• Brand Data Integration
• Working on integrating the data of brands acquired by GoDaddy into the Central Data Platform. During the integration, proposed, architected and building a Python Library to simplify the integration for upcoming similar projects
• Articles
• Co authored a blog on "Layered Architecture for a Data Lake"
• Ref: https://www.godaddy.com/resources/news/layered-architecture-for-a-data-lake

Jun 2020 – Jul 2022 · 2 yrs 1 mo

• Re Architecting Streaming Workflows
• With an aim of simplifying and modernizing the Streaming tech stack participated in exploring streaming technologies, creating comparison documentation, and a migration plan.
• Tech Stack: Java, K Streams, Springboot
• Hotel Confirmation Email Enhancements
• Worked on enhancing the Hotel Confirmation Email to provide traveler's information about the health and safety measurements that the hotel has implemented. We further improved the customer experience by providing the information about the money he saved by booking an Hotrate hotel
• Tech Stack: Java, Apache Storm
• Same Day Price Drop Notification
• Worked on Same Day Push Notification for Car, where we have to trigger the Push Notification when the price of the Car that customer originally looked at has reduced by X% within the same day of their search but customer haven't booked it
• Tech Stack: Java, Apache Storm

Sep 2018 – Jun 2020 · 1 yr 9 mos

• Building Streaming Pipelines
• Currently involved in building a streaming Data pipeline using Apache Spark Structured Streaming, Scala, Cassandra, and AWS Technologies like EMR. This will be utilized in running the Pricing algorithms at scale and near real-time.
• Migration between AWS Account
• Designed and Lead the migration of apps/resources between AWS accounts. Initially, we had our stack on a common AWS account, and then as per company policy, we have to move it to a different one.
• 3PI Price Algorithm
• Design, coded, and delivered the 3PI price algorithm on Apache Spark which increases the pricing competitiveness of 3PI inventory. We are using enhancement techniques on data points, allowing Expedia to propose competitive 3PI rates.
• Pricing Algorithm
• Coded the pricing algorithm on Apache Spark, that will make sure consumer will benefit from the cheapest price while not undercutting hotel prices, enforcing the new strategy proposed and developed by Expedia Group
• Multi-Tier Cancellation
• Lead the effort to design, build, test and deliver multi-tiered cancellation policy support for suppliers in Booking Stack. Suppliers can now support multiple windows with different cancellation rules for a booking which improves customer experience and provides more fine-grain control over financials.
• Partner Onboarding
• Participated in designing and building booking, post-booking and async notification support for newly onboarded partners. Async Notification support increases booking success percentage which prevents dollar loss and a better customer experience

Mar 2016 – Aug 2018 · 2 yrs 5 mos

• Harnessing my potential in breaking monolithic codebase into microservices and containerized cloud deployments.
• Booking Stack Migration
• Involved in designing and migration of billion-dollar booking stack from monolithic chunk to microservices. Worked on the design and development of domain service including performance testing, traffic migration, statistical comparisons. The success rate is ~.72% better in new stack and the success rate of post-booking retrieval is 99.98% which constitutes 49% of entire traffic on booking servers.
• Cloud Migration
• With the aim of achieving elasticity of servers and granular investment tracking of infrastructure, participated in making domain services cloud-native and their migration from the data center to AWS. Focussing on hybrid stage challenges e.g. latencies between datacenter and cloud.
• Distributed Caching
• To avoid fetching static data from Relational DB while booking the hotel. Proposed, Designed, and Delivered production-ready Redis Cluster. TP99 of data retrieval is ~3ms. Currently serving as SME on the solution.
• Fraud Suspect Booking Handling
• Designed and delivered a cloud-native solution to clear Fraud Suspect Hotel Bookings. Booking is either canceled or marked as legitimate within a specified duration. Partners are then notified for legitimate bookings.

May 2014 – Mar 2016 · 1 yr 10 mos

• As a JAVA backend developer in the largest travel booking company.I've worked on following JAVA Web Services and features:
• Booking Search:
• Provided solution to partners to search for booking in their hotel chain 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.
• Booking confirmation feature:
• Extended Booking Search to add confirmation API, which acts as an acknowledgement of booking. Hence enables us to track that partners are aware of booking done in their hotel. Delivered from scratch in two weeks facing live traffic of ~1TPS.
• Reconciling Bookings:
• Reduced call center volumes and manual work by providing RESTFul API enabling partners to edit bookings as per change in customer stay. Finalized the design and delivered MVP in ~2 months facing live traffic of ~5TPS.Later proposed and delivered RESET functionality, which nullify all changes that have been made on a booking. Thus helps in reverting back erroneous updates on the booking.

May 2013 – Apr 2014 · 11 mos · Noida, Uttar Pradesh, India

• As a C++ developer in Samsung Research India.I've worked on following:
• Studying life cycle of Samsung Apps on Smart TV.
• Checked app compatibilities while porting to new display engine
• Analysed and provided solutions for crashes while studying the underline webkit engine

Jul 2012 – Apr 2013 · 9 mos · Noida, Uttar Pradesh, India

• As a C++ developer in Samsung Research India.My roles and responsibilities were:
• Studying the display of GUI components on smart TV.
• Analysed performance improvements while porting GUI library under the wrapper
• Support to market issues.

Jul 2011 – Feb 2012 · 7 mos · Greater Bhopal Area

• Joint Secretary at SCEECS 2012:
• Started a initiative to teach underprivileged kids- Aarambh
• Multiple workshops were conducted for each branch (Computer Science, Electronics, electrical)

May 2011 – Jun 2011 · 1 mo · Greater Bhopal Area

• Training done in Linux System & Network Administration