Summary
Amulya Aankul is an Analytics Specialist Solutions Architect at AWS with nine years of hands-on experience designing scalable data platforms and analytics solutions. Previously a Data Engineer at Amazon, he built batch and event-driven pipelines using Redshift, Glue, Airflow, Lambda, EMR and Lake Formation, and earlier contributed to AML surveillance and document intelligence products at EY using graph databases and machine learning. He holds an MS in Information Systems from Northeastern University and a background in electrical and communications engineering, which gives him a strong systems-oriented approach to data problems. Known for translating complex business needs into reliable ETL and model-deployment patterns, he also enjoys teaching customers best practices for production-grade data products. Colleagues value his ability to combine deep engineering skills with practical machine-learning deployment experience across enterprise and cloud-native stacks.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Information Systems, Master of Science (M.S.), Information Systems at Northeastern University
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Maharashtra Institute of Technology