Welcome to Sparkle Technologies
Providing Fractional CTO, Data Science & Engineering, and Business Intelligence Services
We are a small consultancy that provides technology leadership, bespoke data analysis, data warehouse design and implementation, and business intelligence / report building services to hedge funds, private equity firms, venture capital firms, and private equity portfolio companies.
Leadership
Justin Kuo – Founder
With over 20+ years in the industry, Justin started Sparkle Technologies in 2019. Prior to Sparkle, Justin ran a quantitative trading strategy that returned >500x initial invested capital, was the CTO and a partner at a quantitative equity hedge fund, and was the Head of Algorithmic FX Trading Strategies and Oversight at Bridgewater Associates, the world’s largest hedge fund.
Prior to entering the finance world, Justin ran a small software consulting company for 7 years in Silicon Valley, building a wide range of software for large Fortune 500 corporations as well as small VC funded companies and worked at Johnson Space Center for several years on the Flight Software for the International Space Station.
Clients
Due to non-disclosure agreements, we are unable to publicly identify our clients. However, references are available upon request. Our clients include:
A $16bln AUM, 200+ Employee PE Firm
A $12bln AUM, 100+ Employee Hedge Fund
A $5bln AUM, 40+ Employee Hedge Fund
A $2bln AUM, 10 Employee VC Firm
Portfolio
Below are a few example projects we have worked on:
A Portfolio Company for a Private Equity Firm
One of the largest elevator service and modernization companies in the nation was put together though 25-30 acquisitions with data spread out in nearly as many systems. Reporting and monitoring of KPI’s was near impossible. We worked with the business to define requirements, built out a consolidated data warehouse, built out numerous reports, and helped them design and hire their full-time data engineering and business intelligence team.
A Hedge Fund
A hedge fund wanted to use alternative data for their investment diligence and monitoring process. We built web scrapers to gather data from sites including Glassdoor, LinkedIn, AT&T, Verizon, Healthgrades, and many more. We then analyzed the data and delivered recurring reports to the investment team.
A Startup Technology Company
A startup technology company used cellphone location data from 90+ different countries to provide customers with fraud detection services. We rebuilt their data ingestion pipelines and redesigned their data warehouse to handle the large amount of data that was being loaded (over 50TB of compressed raw data daily) and to be able to support real-time queries over the enormous dataset.