At PS Hummingbird, I design and optimize end-to-end data architectures and production pipelines across on-premises, hybrid, and cloud sources. My work covers batch, streaming, event-driven, and near-real-time data.
I architect Azure Data Factory, SQL Server, and Databricks workflows with error handling, recovery, and monitoring built into releases. I also develop and tune transformations in T-SQL, PySpark, and Python.
At Akroya Inc, I led architecture and delivery for cloud data platform initiatives, translating business goals into data architectures and delivery plans. I worked across Azure, AWS, Databricks, and Snowflake, including lakehouse and medallion architecture.
My projects include an enterprise lakehouse and AI-ready data platform, a real-time streaming analytics platform, and cloud data warehouse modernization. I use tools including Delta Lake, Kafka, Airflow, dbt, Terraform, and Power BI, and hold AWS, Databricks, and Google Cloud data engineering certifications.
