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Akshay Shah

Head Of Platform Engineering at DataStax

Akshay Shah has a diverse work experience in various technology companies. Akshay is currently working as the Head Of Platform Engineering at DataStax, where they oversee and supports the engineering team in managing and innovating the Database and Streaming platform. Akshay is also responsible for spearheading security compliance initiatives.

Prior to this role, Akshay worked at Indeed.com as a Senior Engineering Manager, where they directed multiple platform teams to provide personalized user experiences and increase user engagement. Akshay actively collaborated with the business teams to align technology initiatives with overall business objectives.

Before joining Indeed.com, Akshay held the position of Senior Engineering Leader at Cisco. Akshay led a high-performing team responsible for an exceptional data platform and infrastructure services. Notably, they delivered a consensus algorithm used by various infrastructure services and constructed an analytical engine leveraging Natural Language Search capabilities.

In 2012, Akshay founded Fresh Grocery Bazaar, and prior to that, they worked at Microsoft Corporation as a Sr. Lead Developer. At Microsoft, they played a pivotal role in the design and implementation of various projects, including the XBOX telemetry pipeline and a distributed system for the Anti-malware team.

Early in their career, Akshay worked as a Database Engineer at Ford Motor Co. Overall, Akshay Shah's work experience demonstrates their expertise in platform engineering, user experience, technology leadership, and database management.

Akshay Shah completed their Master of Science (M.Sc.) in Computer Science at the University of Detroit Mercy from 2000 to 2002. Prior to this, there is no specific information available about their education at the BIRLA VISHVAKARMA MAHA VIDHYALAYA(GIA), V.V.NAGAR 007.

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Bellevue, United States

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DataStax

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DataStax is the open, multi-cloud stack for modern data apps. DataStax gives enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kubernetes.


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501-1,000

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