NABAJEET DHAR

 Designed and migrated a complex hybrid data platform (batch + streaming) for a global cruise line operator, supporting enterprise reporting and analytics.  Integrated data from three sister cruise lines into a unified cloud architecture to standardise operations and analytics.  Architected scalable pipelines supporting stationary and real-time data ingestion using Azure native services.

 Led an offshore engineering team delivering petabyte-scale ETL pipelines processing user activity data from Azure Cosmos DB.  Designed cloud-native data architectures to support both real-time and batch analytics workloads.  Defined data models and integration patterns aligned with business and analytics requirements

 Led data engineering initiatives for clients across multiple industries, delivering cloud migration and analytics solutions.  Architected and executed the migration of 100+ TB of enterprise data to Azure. NABAJEET DHAR

 Designed and productionised data pipelines using Databricks, PySpark, Event Hub, and Azure Data Factory.  Modernised legacy back-end workflows, improving end-to-end analytics efficiency by 85%.  Delivered SLA-compliant solutions by reducing weekly processing cycles to near-real-time execution.

 Developed containerised data and analytics applications using Docker, Python, Scala, and Node.js.  Delivered end-to-end solutions from design to production deployment.

 Built Hadoop-based data pipelines using Python, Sqoop, and HDFS.  Delivered BI dashboards using Power BI, improving operational performance tracking.