Ameya Bhope is an accomplished Data Engineer at Synctera since August 2021, where significant contributions include developing ELT pipelines that efficiently process over 350 TB of data daily, implementing cost-reduction strategies, and creating self-healing mechanisms for data reliability. Ameya also serves as a Course Mentor for Machine Learning at Great Learning, delivering extensive hands-on training to professionals. Previous experience includes roles as an AI Engineer at IPRO, where innovative classification pipelines and CNN-based models were developed, and as a Machine Learning Research Assistant at McGill University, where novel methods for gene signature analysis were established. Educational credentials include a Master’s degree in Electrical and Computer Engineering from McGill University and a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Savitribai Phule Pune University.