At Lovelytics, I build Databricks data products, including a metadata-management Streamlit application that orchestrates Data Vault 2.0 configuration across Raw Vault, Business Vault, and Star Schema layers.
I migrated data from Google BigQuery to Databricks using Bronze, Silver, and Gold Medallion architecture layers and declarative DLT pipelines. I also developed data-quality rules and DLT expectations to automate data contracts across Gold-layer tables.
Previously at SiteOne and Stryker, I designed fact and dimension models, production ETL pipelines, and reporting datamarts using Azure Data Factory, Synapse SQL Pools, Blob Storage, Python, and SQL. My work has included API ingestion, dynamic pipeline parameters, financial data validation, conformed dimensions, and complex analytics queries.
I'm completing a Master of Science in Computer Science and bring hands-on experience with lakehouse governance, Unity Catalog, CI/CD, Data Vault, and Star Schema modeling.
