Worked on product roadmap and lead a team of 5 developers, building a custom Shopify application for Wishlist functionality

Designed the database schema using Prisma-Mongo ORM and developed APIs using Remix framework with app proxy enabled

Developed theme extensions to enable interaction between online store frontend, Shopify backend and custom application DB

Created and managed  multiple webhook subscriptions to sync data between Shopify backend system and custom app, which improved data consistency and performance of APIs

Interviewed multiple stakeholders and identified key pain points in international store operations

Defined key metrics, identified gamification opportunities to increase store associate productivity in international stores by collaborating with Designers, Engineers and Stakeholders and prepared a 6-month product roadmap

Presented a Kafka based solution that updates real time inventory count every 30 secs by syncing billing transaction with real time shelf inventory

Proposed an AR based store navigation solution, that reduces Inventory replenishment time by 5%

Introduced idea of gamification badges in the Associate app to encourage higher productivity in targeted core tasks

Collaborated closely with cross-functional teams involving Developers and QA team members  for managing weekly and monthly CI/CD releases for a portfolio of over 300 applications

Created  and configured CI/CD pipelines of applications with Jenkins, Git and SVN for Maven, Ant builds

Developed Docker images and containerized services, improving scalability and decreased deployment failures by using rolling deployment strategy

Automated creation and management of Kubernetes clusters using Ansible, with auto-scaling, load-balancing configuration

Devised post deployment functional smoke  tests for web applications using python selenium which reduced testing time by 50%

Successfully migrated multiple services from on-premises servers to Kubernetes service on a public cloud provider ensuring a seamless transition

Worked with 4 teams to design and develop Incident Root Cause Prediction model built based on previous incident reports, which reduced Overall Turn Around Time (OTAT) of Incident resolution by 30%

Built a comprehensive monitoring and alerting framework using Grafana and Prometheus, allowing for real-time monitoring of crucial services and notify users if these services were not running

Designed and developed  Full stack chatbot solutions using Python-Rasa and Javascript-DialogFlow for Issue tracking, Root cause prediction, updates, and resolution with integration to GitLab, Slack and Jira

Developed custom self-healing services using the Incident root cause prediction model, using monitoring tools like Dynatrace, Puppet that recovered services that were not running 

Received  The Best Performer Award in FY’19 Q4, Xtra Mile Award in FY’20 Q2, Pinnacle Award in FY’20 H2