Experienced Data Engineer with over 5 years in data analytics, dashboarding, and modern cloud data stacks, excelling in roles at Bally’s Interactive and Pivot & Co. Proven ability to design scalable ELT pipelines, integrate diverse data sources, and deliver actionable insights via Power BI and Tableau dashboards. Collaborative partner with business stakeholders, focusing on improving data quality for strategic decisions. Skilled in Python, SQL, Databricks, and cloud data tools. Passionate about continuous improvement, innovation, and optimizing data-driven operations for business growth.

Built and maintained data ingestion, dbt models, and ELT pipelines, delivering clean and consistent data for reporting. Developed Python and SQL transformations in Databricks notebooks and validated data accuracy using dbt across multiple sources. Integrated 6+ data sources for Power BI dashboards supporting multiple teams. Managed automated data pipelines in Azure Data Factory and Databricks Jobs. Developed 20+ interactive Power BI dashboards for real-time insights. Supported Databricks Lakehouse platform for reliable batch and incremental processing using Medallion architecture, Delta Lake, and Databricks Jobs.

Data Analyst / Data Engineer

Built a predictive prototype web app with machine learning models, employing a Flask API and Docker deployment. Streamlined and optimized data workflows, improving efficiency by 40%. Developed interactive dashboards and metric analysis in Tableau. Created Python data visualizations using Plotly and Dash by sourcing and normalizing data from multiple inputs.

Data Engineer

Implemented analytical reporting for marketing teams enabling data-driven decisions. Performed data analysis and generated business reports. Managed SQL Server-based databases and transformed large datasets into warehouses.