Hanish User

I’m a Senior Data Engineer with 6+ years of experience, including 4+ years architecting enterprise-scale Azure cloud data platforms and modern lakehouse solutions. I focus on building resilient ELT/ETL systems that move data reliably from ingestion through trusted analytics.

On Azure, I design and orchestrate scalable batch and near real-time pipelines using Azure Data Factory (ADF) and Azure Synapse Pipelines. I implement Medallion (Bronze/Silver/Gold) with Delta Lake on ADLS Gen2 for ACID-compliant processing, while tuning Synapse Dedicated & Serverless SQL Pools to support enterprise reporting and advanced analytics.

I strengthen event-driven architectures with Azure Event Hub, Service Bus, Kafka, and Spark Structured Streaming, and I use Azure Functions and Logic Apps to automate serverless processing and orchestration. I also deliver secure data platforms with Azure Key Vault, Managed Identities, RBAC, Private Endpoints, and VNet integrations, plus governance and lineage using Microsoft Purview.

I bring strong DataOps and observability to every platform, implementing automated testing, data quality validation, and secure data lifecycle management. Across projects, I’ve improved transformation efficiency by 35% through Spark performance tuning, and reduced incident response time by 40% with Azure Monitor/Log Analytics and Datadog; I’ve also delivered measurable query performance improvements (e.g., 30%) through SQL optimization and indexing.