Saurav Kumar

Project: Enterprise Insurance Policy Event Backbone Platform. Designed and implemented a centralized Kafka-based event backbone ingesting policy, underwriting, claims, billing, and risk data from multiple source systems; acted as a middle-layer pub/sub hub. Built producer/consumer services using ASP.NET Core Web API and .NET 6 Worker Services with request pipelines, middleware for logging, validation, and exception handling. Developed cloud-native backend APIs to support real-time dashboards and secure data ingestion. Implemented an Angular PWA for field inspections with offline capability and auto-sync. Built a real-time health monitoring framework for source/stream/sink connectors with automated alerts. Applied Polly policies for retries, circuit-breakers, timeouts, and fallbacks. Configured Azure APIM, Application Gateway, Key Vault, Service Bus, Event Hub, Azure SQL, and Cosmos DB; used Redis for distributed caching. Set up Kafka Connect and Debezium CDC for streaming changes and u

Project: Fleet Management & Cold Chain Trailer Monitoring System; Nine-Box App. Built event-driven telemetry ingestion pipelines using .NET 6, Kafka, and Confluent Cloud; used DAPR for stateful pub/sub patterns. Created a .NET 6 Windows service to periodically extract data from Oracle and publish to Kafka. Designed an Angular PWA with offline capability for field staff to capture telemetry data and auto-sync on reconnect. Delivered end-to-end real-time data pipeline from PowFleet sources to Azure SQL with aggregation, alerts, and source/sink connectors. Used Redis for caching telemetry and streaming to S3/Azure Data Lake for analytics. Implemented Kafka Connect (JDBC, HTTP, Debezium CDC) for streaming from SQL Server. Developed business-rule engines to filter alerts and route critical events downstream. Built Kafka consumers to persist filtered alerts into the Cold Chain Trailer Management database. Enhanced an Angular + Kendo UI web app for operations and transport teams. Deployed con

Project: Supply Chain Event Streaming & Analytics Platform. Implemented Kafka-based streaming pipelines for order, inventory, and logistics events. Built .NET Core APIs exposing real-time and historical supply-chain data. Designed Azure Data Factory pipelines with Python for incremental ETL. Integrated Databricks, Azure SQL, MongoDB, and S3 for hybrid analytics workflows. Created Power BI dashboards for operational and executive reporting. Deployed containerized services on Kubernetes (GKE) with CI/CD pipelines.