Summary
David Piedrahita is a Senior Data Engineer with eight years of experience building scalable data platforms for banking and consulting clients, currently at QuantumBlack/McKinsey in Chicago. He combines strong engineering skills in Python, Scala, Spark, HDFS and Impala with a solid analytics foundation from an Economics BA and graduate study in Business Analytics and Computer Science. At McKinsey he progressed rapidly through multiple data engineering levels, translating complex financial datasets into robust, production-grade pipelines. His background includes hands-on data science roles in banking and teaching assistantships, which contribute to a pragmatic, mentoring approach to technical problems. Comfortable at the intersection of analytics and engineering, he focuses on reliability, performance, and making data accessible for decision makers. An understated strength is his cross-disciplinary fluency—able to bridge economic intuition with modern distributed-data engineering.
8 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Master's degree, Business Analytics, Master's degree, Business Analytics at Pontificia Universidad Javeriana
Universidad de los Andes
English, Spanish, Portuguese