Paola Cadavid is a data engineer with 12 years of experience specializing in Python and AWS (Glue, Lambda, Step Functions), currently building data platforms at Louis Dreyfus Company. She combines strong web-development roots—co-founding a startup and delivering education, government and clinical web apps—with production-grade data engineering for analytics and streaming. Passionate about applying data science to open government and data-driven journalism, she brings research experience in e-learning, image processing, genetic algorithms and HCI to practical solutions. Comfortable across the stack, she has a track record of launching learning management systems and social networks for resource sharing. Based in the Greater Paris area, Paola continually upskills (Udacity Data Streaming NanoDegree) and favors pragmatic, collaborative approaches to complex data problems. A curious, proactive engineer, she often bridges product, research and engineering to turn data into actionable insight.
12 years of coding experience
10 years of employment as a software developer
Data Streaming Nano Degree, Procesamiento de datos y tecnología de procesamiento de datos, Data Streaming Nano Degree, Procesamiento de datos y tecnología de procesamiento de datos at Udacity
Ingeniería, Ingeniería at Universidad del Valle (CO)
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