Aug 2022 – Feb 2024 · 1 yr 6 mos

• Designed and delivered the backend processing logic for the OIS where users can view the entire lifecycle of every order. By integrating order ERP data, shipment tracking data, inventory data, and warehouse management data, to eliminate inefficiencies, manage exceptions, reduce expenses, and increase customer satisfaction at every step of an order’s journey it provides order visibility.
• Built a highly scalable state machine distributed system, used Kafka broker queue for async ingestion.
• Filters - Elastic Search Sync, search API for Filters with minimal latency.
• Build a state machine strategy that Leveraging Order data from several source systems based on priority leverage it.
• Built a highly scalable system, Kafka pipeline that handles millions of transactions.
• Fixed Concurrency Issues in our system with efficient distributed design and concurrency control.
• Revamp Order Ingestion Flow, re-design architecture, and database Schema.
• Used Zstd Kafka Compression for ingesting Orders having thousands of Line items(huge data).
• Actively Improved performance of ingestion rate by batch optimizations, scaled services for high throughput, and cost reduction, and fixed memory issues, Document design.
• Order Risk Reason CallBack: A callback is essentially the order data that is sent back to a customer when a certain event(risk added to order) happens, built callbacks for the order risk, sends risk reasons to the customer’s API, Built the automating risk that marked order at risk, it the same risk notification we send to the customer via callback, leveraged Mulesoft Integration
• GS1 - Ingest the data points from the customer's system Implemented GS1-compliant sync API, for order update This is carried out with zero downtime (Leveraged the same table structure to support different data types for the existing fields), without breaking existing flow, This is carried out with backward compatibility. JT parser, $500k growth within one quarter.

Jun 2021 – Jul 2022 · 1 yr 1 mo

• Developed Inventory Visibility for OIS which predicts a shortage of stocks, by which customers can be notified ahead of time of the risks of supply shortage. which has a potential million growth opportunity ,It uses the current status of Inventory that we get through SAP and purchases sales order transaction data, shipment in transit data, and finds meaningful information, Tech stack - java, Kafka, Redis, ElasticSearch and Postgres, Spring, Kubernetes.
• Completely owned the Backend of Inventory, Coordinated with product stakeholders implemented a backend service from scratch, Setup a service. Built a highly scalable, maintainable microservice that handles millions of inventory transactions daily.
• Implemented a Kafka Pipelines, to process messages both sync/async, Implemented the APIs for rendering data in UI.
• Designed Low-Level Design and database Schema and ingestion flow.
• Wrote Thread Executor for inventory day projection calculation.
• Added Cron job by leveraging Kubernetes for updating 7-day projection.
• leveraged ElasticSearch Data sync pipelines for filters and autocomplete, search API for Filters with minimal latency.
• Involved in functional testing, quality, and Junit unit test cases.
• Participated in Frontend development, developed multiple React components, set up the infra-wrote Jenkins and k8 scripts, and deployed in AWS through CICD pipelines(Jenkins).
• Global Map: built Map view end-to-end feature to aggregate loads based on the top lanes, Drill down to the respective route/ location, and built multiple filters to filter out specific types of lanes by different statuses like (early, late, and delivered).
• Order Tracking Status: designed and rebuilt the async process for computing order tracking status and developed a highly scalable new pipeline, that handles frequent tracking updates.
• Purchase Order: Maintained and added multiple new features to the Purchase Order system with 7 microservices, pager fixes.

Nov 2020 – Jun 2021 · 7 mos

• Got recognition for contribution to the team, added 104+ automation cases in the automation framework
• My role and responsibilities are mentioned below:
• Fixed Backend Defects in the Spring boot.
• Developed React Component for feature.
• Automation Test Framework development and execution
• Regression testing, Bug reporting, and verifying fixes wrote Test automation script for UI and API testing
• Developing test scripts in Python (selenium) for UI testing.
• Did API and UI Automation ( Postman & Selenium using Python ).
• Experience in agile methodology, Jenkins CI/CD, and Jira, Git.
• Monitoring Infra.