At Slalom, I develop innovative data and analytics solutions and deliver them to clients in a way that provides the most seamless path to success.Some of my client experience includes:Health Information Exchange | Data Engineering Lead | Washington, D.C:•Lead a team of data engineers that built and managed a Lakehouse platform in Azure using Azure storage, Azure Data Factory, Databricks, PySpark, and Delta Lake. •Ingested over 175 data sources, including healthcare specific formats like HL7/CCDAs, and created curated pipelines that powered initiatives like COVID-19 contract tracing for multiple states and vaccination tracking for regional health care providers.National Non-Profit | Data Engineering & Cloud Architecture | Washington, D.C:•Developed a metadata driven data lake in Microsoft Azure using Azure storage, Azure Data Factory, Databricks, PySpark, and Delta Lake, managed the DevOps pipeline and repos using Azure DevOps.•Created Data Factory pipelines that pulled data incrementally from sources and then processed this data using automated clusters in Databricks that run in parallel. •Developed logic to run parameterized Databricks notebooks in parallel on multiple threads within a single cluster to achieve two layers of parallelism for the pipeline, allowing for processing of large sources with multiple datasets in a minimal amount of time.•Wrote PySpark code to ingest unprocessed data, make necessary transformations, and insert it into a Delta Lake Table.World’s Leading Cloud Services Provider | Data Warehouse Development & BI | Seattle, WA:•Assisted the largest cloud services provider in replacing a legacy data warehouse and over 2000 reports with modern technology such as AWS Redshift/Tableau. •Functioned as one the lead client-facing BI developers and advised client leadership on reporting architecture and implementation. •Gave platform demos to groups of 200 people at a time, consisting of stakeholders/global end-users.

• Leveraged SQL to build complex stored procedures, while improving quality, completeness, and traceability of IT cost data• Conducted validation meetings with key stakeholders to improve mapping of data elements from source systems to cost framework• Created automated data reports by using tools like Alteryx and SQL Server• Completed statistical analysis to identify cost outliers and validated with key IT stakeholders for contextual insights• Reported on $30B+ of annual spend through interactive Tableau visualizations for improved cost decision making