● Supervised a team of 20 data engineers and data modelers● Led a project at GM to digitize paper processes, implementing ChatGPT on Azure's Open AI platform in C#, resulting in a global daily productivity gain of 90 minutes for GM group leaders.● Led, Designed, and implemented a production ready hybrid cloud approach of Manufacturing Data into the cloud for descriptive, diagnostic, predictive, prescriptive analytics.● Delivered the architecture & Erwin Data Model to deploy anomaly detection on conveyor device level data built with an LSTM model for predictive analytics to maintenance tech to prevent robots from failing.● Configured a Spark Airflow environment on Kubernetes for workflow orchestration and cleaner scheduling and enforced git standards for the CI/CD pipelines.

● Developed and trained junior data engineers in Scala and Python to build out fault tolerant system through Spark Streaming, Apache Kafka and Kubernetes for containerization● Developed training notebooks to demonstrate to junior members how to build, train, and deploy AI/ML pipelines in production that were built through Jupyter notebooks in python● Developed a reusable stream analytics process in Scala through Spark’s parallel processing engine that caches data in Redis for in-memory processing to output results in real-time for enhanced analytics. The reusable framework saved request time from 3 months to 3 days to deploy to production.● Developed technology roadmap for data analytics team and consisted of data engineering tools, business intelligence tools, and data science tools.● Created a platform for data virtualization with the use of Docker on Kubernetes that allows for self-serve analytics for business users on the semantic layer of the Dremio Lakehouse framework.● Designed data mesh architecture to deliver real time stream analytics to our customers for enhanced visibility.● Led the POC evaluation of the Azure platform with Azure Synapse data pipelines to demonstrate the value of a unified platform for the team’s AI/ML processing.

● Through understanding the manufacturing data developed a project to save GM 10 million year over year by reducing storage costs, hardware, and time by creating a gold source for vehicle as-built information.● Developed reusable structured ELT big data processes with HQL Scripts to write into the data warehouses vehicle 360 Enterprise Data Assets for self-serve analytics on vehicle and plant data.● Developed Tableau and Cognos Reports on large scale projects for key analytics insights.● Developed Data Pipelines with use of PL/SQL, SQL, Unix, Python, Rest API's, Java through ETL platforms in IBM DATASTAGE, SSIS, IBM Integration Bus for large scale projects.● ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.● Prepared documentation and analytic reports, delivering summarized results, analysis and conclusions to stakeholders.● Mentored junior members on exception handling, maintainability and results.

• Performed software demonstrations for potential clients, highlighting strengths of HP Enterprise Products• Provided knowledge and leadership on technical issues for strategic business solutions and tactical results• Trained companies on the technical implementation of HP Enterprise products from Health Care to the finance industry• Performed software demonstrations for potential clients, highlighting strengths of HP Business Service Manager, HP SiteScope, HP CMDB, and HP NDM• Configured custom KPIs, Metrics, and SQL views to import into executive scorecard contextsHP Service Anywhere (Service Desk on the cloud)HP Application Portfolio Management HP Project & Portfolio Management HP SiteScopeHP BSMHP Operations OrchestrationHP NNMHP UCMDBHP Executive ScorecardCrystal XCelsiusSAP Business Objects Data Services (BODS) ReportingData Services ETL experience

• Manufactured high quality machined parts in space-age alloys of titanium, as well as steel & aluminum• Constructed measurements for robots using AutoCAD to design effective robots

• Developed scripts based on requirements and documents management using Doors and TEAMCENTER• Modified software written using TCL scripting language