I am a data engineer with more than 11 years of experience building and operating high-throughput ETL and ELT pipelines in cloud-native environments.

I have worked across fintech, healthcare, manufacturing, consumer analytics, telecommunications, and energy-related data domains, with a strong focus on reliable ingestion, transformation, and governance.

My hands-on experience includes Python, SQL, T-SQL, PySpark, Azure Databricks, Azure Data Factory, Delta Lake, Structured Streaming, SQL Server managed instances, and Unity Catalog-style governance controls.

I have designed data architectures that support bronze, silver, and gold Lakehouse layers, implemented schema validation and reconciliation checks, and maintained production systems with an emphasis on stability and zero service disruption.

I also have experience working with APIs, JSON, XML, Excel, flat files, graph data, and messaging systems such as Kafka and Azure Event Hubs, along with DevOps and CI/CD tooling like Git, Jenkins, Docker, Terraform, and Azure DevOps.

I value data quality, lineage, access control, and cross-functional collaboration, and I am comfortable partnering with governance, compliance, analytics, and engineering stakeholders to deliver dependable data platforms.

I am currently open to senior-level data engineering opportunities where I can contribute to scalable data platforms, cloud architecture, and enterprise data management.