About

Conor Quinn is a highly skilled Software Engineer currently working at Amazon, where he is part of the Infrastructure team responsible for provisioning Elasticsearch clusters that handle search requests from Alexa and Amazon Music. His work involves managing the data pipeline and ensuring smooth operation of the search infrastructure using Elasticsearch. Conor has 4.87 years of relevant experience in the field of Software Engineering. Prior to his current role, Conor worked at Kensho Technologies, where he was part of the Kensho Market Intelligence sub-division. Here, he developed new and contributed to existing research software used by top financial institutions such as Goldman Sachs, Bank of America Merrill Lynch, Citi Group, JP Morgan Chase, Morgan Stanley, Wells Fargo, and CapIQ (S&P). Conor worked on various projects such as Sheets, Klang, Asset Overview, Sigma Moves, and Studies, where he used React JS, D3, and Python Django to build front-end and back-end applications. Kensho was later purchased by CapIQ in March 2018. Conor also worked as an intern at Granite Telecommunications, where he helped analyze financial data and produce monthly financial statements. He conducted VOIP market research to set prices for hardware and system access and helped establish Granite's new voice over IP network. Conor holds a Bachelor of Arts (B.A.) degree in Computer Science from Harvard University, where he gained expertise in various technologies such as Software Engineering, Search, Elastic Search, Infra, Web, ReactJS, Python, Pandas, Frontend, Backend, and Django. Conor is a highly motivated individual with a passion for building scalable and efficient software systems. He has excellent problem-solving skills and is always seeking new challenges to enhance his skills and knowledge.