Orchestrated the logistics and delivered seamless execution for over 60 events through meticulous pre-event setup and proactive technical support, resolving any unforeseen challenges.

Designed and developed the Availability REST API from scratch, with java, spring and NoSQL DB - Couchbase. It gives out availability of 100 million+ product-location combinations per week, across all 7000 stores and warehouses.• Owned Sales Ingestion, a fault-tolerant service, that consumes 70 million+ sales transactions per day from the distributed messaging infrastructure - Kafka, which improved my software design and software engineering capabilities• Analysed system architecture of the team, and proposed building a custom distributed scheduler to eliminate stock event loss for betterment of 9 out of 13 team’s microservices. Sharpened my unit testing, performance tuning skills.• Collaborated for building Supply Service component, core microservice for book stock keeping which ingests 36+ store transactions and performs 3.5 billion CRUD operations/week on MongoDB. Honed data structures-algorithms skills.

Automated onboarding new meters to smoothen addition of new billing mechanisms. Reduced onboarding time from 4 days to approximately 10 minutes with the help of Spring Boot - Java framework.• Improved licensing and metering application which facilitate revenue generation for business. Redesigned database for 25+ flows that provide data to reflect product services usage and billing to customers, over different timelines• Established robust and reusable Continuous Integration and Continuous Deployment(CI/CD) devops pipeline using jenkins, groovy and bash, for the 20+ microservices/ REST API, including setup of all the infrastructure and sonarqube

Analyzed and documented business requirements for Project Nga, contributing to integration of specific SAP modules (Finance, HR, Material management) across 40+ locations• Exploited AWS S3 for cloud storage, ensuring 99.99% uptime for all executed applications• Delivered unit and integration testing frameworks, achieving 85% code coverage and minimizing bugs