In this paper, we outline a general methodology for analysing corporate career data using data extracted from professional CVs. Our process begins by collecting resumes in JSON format automatically and storing them in a centralized repository. These data are then systematically structured into both relational and graph databases, enabling rich, multidimensional analysis. Through the integration of database management techniques and machine learning tools, we can conduct further analysis, such as sequence analysis, to trace and interpret career paths, uncovering career patterns of business elites. This framework not only facilitates detailed empirical investigation but is also designed to be reproducible and adaptable, serving as a foundation for future research.