• Served as lead engineer for the largest domain on the data platform, helping increase year-over-year generated revenue• Lead the design and implementation of a platform-wide migration from external tables to Unity Catalog managed tables• Lead the design and implementation of multiple platform-wide refactoring initiatives to improve code quality and scalability• Architected and engineered the migration of legacy information systems into the data platform• Built data pipelines using PySpark to integrate source system data• Improved CI/CD tooling using Python, Bazel, Azure DevOps, and dbx• Wrote unit and integration tests for data processing code• Performed code reviews to ensure architecture, code, and data standards were followed

• Served as technical lead for the successful deployment and administration of multiple IFS FSM Azure cloud-hosting agreements, including the company’s first Azure cloud-hosted enterprise data warehouse agreement • Built ETL pipelines using Azure Data Factory, Databricks, and Apache Spark for on-prem and cloud-based integrations• Worked with clients as an SME to diagnose application-level and database-level errors in their Azure cloud environment • Developed Azure SQL queries, scripts, and stored procedures to improve environment administration and monitoring• Developed web and desktop applications using Python and C# to augment product and service offerings• Developed and managed Azure DevOps CI/CD pipelines in Azure Synapse Analytics• Deployed solutions using Apex to integrate between Salesforce and clients’ ERP software• Established and documented internal technical processes to improve onboarding and scalability

• Generated complex SQL queries, scripts, and stored procedures using T-SQL and PL/SQL• Translated stakeholders’ requirements into reporting deliverables• Worked with SME’s to research, validate, and troubleshoot code and reporting parameters• Automated manual reporting processes using C#/Visual Basic, saving over 1,000 developer hours/year• Developed processes using C# to alert developers of possible ETL issues• Developed applications using Python to collect and analyze database sever logs to improve operations and reduce server strain

• Built data hierarchies and logic parameters that interlaced structured and unstructured data to improve granularity from a paragraph level to a sentence level• Helped build and manage company databases and other information systems• Developed sophisticated regression models to predict commodity index prices using Python• Increased percentage of high-quality extracted data from 30% to 98.96%• Conducted market research and analysis for $1B+ revenue companies that outlined prospective customers and market opportunities• Helped train interns and new hires in system use, data extraction, and quality assurance

• Extracted market data into a relational database.• Ensured data extraction quality.• Engaged in ad-hoc projects used to increase B2C capabilities.• Conducted market research in the IT and Automotive industries.

• Wrote educational articles used for high school and college level business classes.