Along with an Agile team and environmental scientists, I have developed end-to-end cloud data pipelines for anomaly detection and quality control of sensor-collected water quality parameters (pH, electrical conductivity and temperature) and spotting of out of water sensors, including automated notifications.I have also implemented protocols and methodologies using open-source Python libraries for data analysis and quality control of hydrological data with a focus on aquatic sensors.