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Big Data Architecture & Distributed Systems
Created 9 years ago in Technology / Software Development

I advise companies on big data architecture and on designing large scale platforms and services. The more / cheaper storage and computation choices we have, the more data we can process. However, many companies quickly become paralyzed when vast amounts of data are hurled at inadequate platforms. Designing solid and scalable architectures in-colo and in the cloud is critical for businesses to survive and thrive.
I've designed and built successful big data platforms and services for advertising, healthcare, financial services, and social networking - handling datasets of over 10 trillion transactions per month and tens to hundreds of thousands of dimensions. Many of these systems are real time or streaming and many provide off-line processing - when appropriate.
I care about optimizing the architectures *for the use cases they are supposed to solve* - i.e. falling in love with the problem, not the technology - and believe in short-term wins on the way to target state.
If you need advice on any of these topics, I'm happy to help.
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Lucian Lita
Sunnyvale, CA
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I advise companies (startups and large organizations alike) with their data strategy, their data strategy (product, instrumentation, machine learning / AI), as well as auditing and designing their data architecture, data products, data science and analytics, and big data / distributed real time systems. I love to build high performance technical teams, focused on delivering on product and platform and I can help you do the same in engineering, data science, and product. I also provide practical leadership advice on turning around large technical organizations, changing culture, and managing significant change, while building momentum and continuing to deliver.
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