David G. is a seasoned Sr. Software Engineer at IBM, where he has been instrumental in driving innovation within the IBM Private Cloud for Data team since April 2019. With over 15 years of extensive experience across e-commerce, manufacturing, finance, and retail industries, David has...
David G. is a seasoned Sr. Software Engineer at IBM, where he has been instrumental in driving innovation within the IBM Private Cloud for Data team since April 2019. With over 15 years of extensive experience across e-commerce, manufacturing, finance, and retail industries, David has developed a robust expertise in data modeling, business process modeling, and system integration. His deep understanding of industry data models, including Bill of Materials (BOM) and supply chain processes, positions him as a key contributor to projects that require intricate knowledge of engineering and manufacturing workflows.
In his current role, David leads three teams in the design and implementation of a SQL builder function, which empowers users to construct SQL queries and visualize data seamlessly. This initiative not only enhances user experience but also streamlines data investigation processes, making it easier for stakeholders to derive actionable insights. Additionally, he spearheads the implementation of Continuous Performance Data Services (CPDS) analysis functions utilizing Prometheus, ensuring that performance metrics are effectively monitored and analyzed.
David is also a champion of the IBM Carbon Design System, advocating for its adoption to create cohesive and user-friendly interfaces across applications. His solid development experience spans both open-source and enterprise environments, with a strong proficiency in Agile methodologies, Object-Oriented Design, and Business Intelligence tools. His technical toolkit includes languages and technologies such as Ruby, HBase, and Solr, which he leverages to drive business analytics and enhance integration capabilities. David's commitment to excellence and innovation continues to make a significant impact on IBM's cloud solutions, positioning the company as a leader in data-driven decision-making.
