As a Data Engineer at Daimler Truck North America, I apply my 10+ years of experience in data analysis and development to create innovative solutions for the trucking industry. I have a Data Science Certificate from Thinkful and proficiency in Python, SQL, cloud platforms, and generative AI.I have a track record of automating processes, optimizing performance, and delivering value through data-driven insights. Some of my achievements include devising Python scripts that compile and automate log errors, reducing reporting delays and developer response times by 67%; porting an old Access DB script into ETL tool and SQL server, reducing batch reporting times by 25%; and rebuilding an ETL job to ingest tens of thousands of additional claims, saving the company over $1 million in costs. I also collaborate with cross-functional teams and support the integration of new technologies and acquisitions. I am passionate about finding new ways to leverage data and AI to improve the efficiency and sustainability of the trucking industry.
Listed skills include Variance Analysis, Git, Media Analysis, Community, and 106 others.