Aman Deep Gangwar

I’m an Azure data engineer with 4+ years of experience designing, building, and optimizing enterprise-scale data platforms on Microsoft Azure. I specialize in end-to-end ETL/ELT pipelines for ingestion, transformation, and orchestration, with a strong focus on performance optimization across distributed systems.

In my recent role at Deloitte, I architect secure Azure data platforms and deliver high-performance pipelines using Azure Data Factory and Azure Databricks (PySpark / Spark SQL). I automate workflows with Azure Logic Apps and ADF triggers, then tune Spark jobs, SQL queries, cluster configurations, and partitioning schemes to improve performance, reduce latency, and manage cost.

I also lead governance and reliability work—implementing Azure Purview and Data Catalog for metadata management, lineage tracking, and compliance, while proactively running data quality checks to detect and remediate anomalies. Across teams, I partner with analysts and stakeholders in Agile delivery to ensure timely, actionable insights that align with strategic business goals.