Madhunika Mikkili

Data & ML Engineer at Amazon Web Services (AWS)

Role: Data & Ml Engineer at Amazon Web Services (AWS)
Location: Charlotte, NC, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Madhunika Mikkili

Passionate about driving business outcomes through data, machine learning, and Generative…

Experience

Data & Ml Engineer
Amazon Web Services (AWS)
Jan 2023 — Present · Fort Mill, SC, US

Contact information

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Current company

Amazon Web Services (AWS)

IT Services and IT Consulting · 10K employees · Founded 2006 · 410 Terry Ave N, Seattle, WA, 98019, US

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

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About Madhunika Mikkili

Experience

Data & Ml Engineer

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