Priyam Dutta Email & Phone Number | As an Engineering Leader at Apple, I lead a high-performing team of data engineers and software engineers who build scalable and distributed data platforms for enterprise solutions. With over 1.5 decade of experience in engineering excellence, I have a proven track record of delivering innovative and agile solutions that meet customer needs and business goals. I partner with product leadership to understand requirements, reimagine technical solutions, and drive adoption of enterprise platforms. I also leverage my expertise in technology to solve key challenges and optimize performance. My mission is to empower my team and organization with the best data engineering and software engineering practices and tools.

Priyam Dutta

As an Engineering Leader at Apple, I lead a high-performing team of data engineers and software engi...
Hyderabad, Telangana, India

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Priyam Dutta’s Email pdutta@apple.com

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Priyam Dutta’s Location Hyderabad, Telangana, India

Priyam Dutta’s Current Industry Apple

Priyam Dutta’s Prior Industry Salesforce | Xerox | Infosys

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Engineering Manager

2021-08-01 00:00:00 - Present

Manager - Product Management & Engineering

2020-02-01 00:00:00 - 2021-08-01 00:00:00

Principal Consultant / Sr Manager

2018-05-01 00:00:00 - 2020-01-01 00:00:00

Technical Solutions Architect

2007-06-01 00:00:00 - 2018-05-01 00:00:00

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Priyam Dutta is a As an Engineering Leader at Apple, I lead a high-performing team of data engineers and software engineers who build scalable and distributed data platforms for enterprise solutions. With over 1.5 decade of experience in engineering excellence, I have a proven track record of delivering innovative and agile solutions that meet customer needs and business goals. I partner with product leadership to understand requirements, reimagine technical solutions, and drive adoption of enterprise platforms. I also leverage my expertise in technology to solve key challenges and optimize performance. My mission is to empower my team and organization with the best data engineering and software engineering practices and tools.