Summary
Jean Landercy is an analyst and systems-minded full stack developer with nine years of experience designing end-to-end data acquisition and service ecosystems where metrology meets computer science. A chemical engineer by training, he combines hands-on electronics and analyzer know-how with modern Unix, Python/Django, PostGIS/TimeScaleDB and container-based DevOps to deliver reliable, resilient data pipelines and spatial-temporal services. He has driven IoT and SmartCampus initiatives, migrated legacy scientific workflows into automated microservices, and built specialized sample-management and chemical databases for applied biodiversity projects. An experienced trainer and facilitator, Jean routinely translates siloed datasets into shared, actionable insights and coaches masters students in statistics and data management. Notably, he blends lab-grade measurement expertise with production software practices to ensure scientific accuracy scales into operational systems.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Analytical Chemistry & Environmental Engineering, Master of Science - MS, Analytical Chemistry & Environmental Engineering at Haute Ecole Lucia de Brouckere
French, English, Portuguese