Methane, the primary component of natural gas, is a 60 times more powerful climate change agent than carbon dioxide. Current technologies for finding methane leaks in oil and gas infrastructure rely on driving well to well with a handheld camera. At Kairos Aerospace, we have developed a plane-mounted sensor for detecting methane leaks, but the sensor is only part of the solution: getting information off the sensor and into customers’ hands required us to build an entire plane-to-report pipeline. I’ll discuss the challenges we faced in developing a scalable, reliable, and cost-effective scientific computing platform in Python, with examples of novel solutions using Python’s extensive ecosystem of GIS, cloud computing and machine learning tools.