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Chris Perino

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Email: ****o@pricespider.com
Location: Sammamish, Washington, United States
Current employer: PriceSpider
Current title:
Head of Data and Analytics
Last updated: 22/05/2023 01:06 AM
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About

Chris Perino is from Sammamish, Washington, United States. Chris is currently Head of Data and Analytics at PriceSpider, located in Irvine, California, United States.

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Chris Perino's current jobs
Company: PriceSpider
Title: Head of Data and Analytics
Period: Jan 2021 - Present (3 years, 10 months)
Location: Irvine, California, United States

Elevating Price Spider’s position as global leader in brand commerce technology which encompasses commerce enablement and digital shelf analytics. Lead the data analytics and data warehousing team responsible for driving process improvement, technology enhancement, and performance advancement. Reports: 10 Direct & 15 Indirect. Budget: $600K - $10M. ● Captured $2M in cost savings and reduced technical debt by 20% by implementing Snowflake, Looker, and AWS ● Reduced number of monitoring tools by 3X, simplified new technology onboarding, increased data integrity and security, and created a single source of truth for enterprise monitoring platform by implementing Data Dog ● Led cloud consolidation effort, moving services from Azure and GCP to AWS, which is further reducing technical debt & egress cost ● Evolving Price Spider’s culture with focus on promoting data sharing, governance, and hygiene while bringing expertise to data security, risk, and compliance ● Leverage the power of data to drive a ~10% increase in revenue, 30% boost in new users, and reporting capability by 500% ● Defined realistic business goals, including on-time project delivery, ZERO slip in timeline, 50% reduction in complaints, data availability to 20-minutes or less, and reliability to 99% - All met/exceeded in <1-year ● Using AWS ML services, including Sagemaker, to build AI and Machine Learning based intellectual properties, creating and empowering data stewards organized by data domain to be responsible for data quality, standardization, cleansing, & remediation

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