PROFESSIONAL EXPERIENCES

SupplyHouse.com, 2024 - Present

Led team transition from SAS environment to Spark and Python in Azure Databricks
Established team-wide 5S of production process, decreasing deliverable compute time by 75%
Synthesized work of 5 other developers into one team-owned codebase and established operational guidelines for continued improvement and development
Spearheaded use of Azure DevOps Repository to remedy collaboration teaming issues discovered in development operations review, training 5 other developers on DevOps best practices and Azure tech stack
Automated and standardized QA process for data integrity and accuracy, removing 90% of manual processing required on a monthly basis
Optimized Databricks Workflow and Job Cluster usage to reduce team compute costs by $10k/month
Owned monthly deliverable reporting on telecom industry to meet changing client business needs

Administered team transition to Agile management, increasing user satisfaction with team projects
Maintained factory-wide Power BI gateway for over 80 reports used by over 500 employees
Developed computationally and memory-efficient processing of data to better enable proactive decision making in DAX and M query language
Automated and improved standard work processes using Python, VBA, SAP Scripting, Alteryx, and PySpark in Databricks
Mentored part-time student through their first 6 months of professional work across 4 projects

Utilized AWS Databricks to analyze and create dashboards for global crop harvesting machine data using Python and R along with Spark
Collaborated with machine health specialists to ensure 6 Expert Alerts were authored to communicate machine failures to thousands of dealers around the world in multiple languages

Supported 17 operator stations in final packout department
Organized daily quality defect investigations and communications with operators and inspectors
Documented containment activities for repeating assembly issues and nonconforming materials through Continuous Improvement process
Trained 15 other engineers in a machine learning introduction using Python and TensorFlow

Maintained 8 Trumpf fiber lasers and STOPA automated material handling system
Automated report generation and data analysis using R, R-Shiny, Power BI, and VBA
Simplified steel inventory planning through standardized steel sheet size ordering with material planning and SAP routings

Standardized interdepartmental communication for location mapping requests using Microsoft Excel
Programmed a preventative maintenance alert system using VBA, SAS, ESP, and a Microsoft Access database
Implemented rolling storage solutions to meet ergonomic standards
Investigated warehouse locations using R for statistical analysis

Discovered a 20% reduction in expected time spent per fork truck battery change through time study
Developed a MS Access database and simple GUI for time-off requests from hundreds of hourly workers
Collaborated with other engineers to teach approximately 40 new employees about Lean Distribution, 6S, and Kaizen events

Earned OSHA 10 Construction certification
Completed daily work reports
Contributed to the construction observation team for a $9m road and bridge project
Acted as sole daily contact for contractors to ensure INDOT specifications were met for concrete installation and testing