Gestalt
Justin McClintick is an experienced technology executive currently serving as the Chief Product Officer and Chief Technology Officer at Gestalt, a company specializing in data warehousing solutions for lenders, since March 2023. Prior to this role, McClintick co-founded Clean Layer in early 2020 and held the position of Vice President of Product Management at defi SOLUTIONS from July 2014 to October 2019. Additional experience includes consulting at Sogeti, serving as a Senior Analyst at Avanade, working as a Solutions Engineer at HealthMarkets, and providing support and quality assurance at Insala. McClintick holds a Bachelor's degree in Computer Information Systems from Devry University, completed in 2008.
This person is not in any teams
This person is not in any offices
Gestalt
1 followers
Gestalt is an out-of-the-box data warehouse specifically for lenders. We are founders and lending veterans who have been watching lenders spend money to attempt to solve the same problem - a centralized, robust data warehouse as a single source of truth for ALL of their data coming from disparate systems. The premise is solving the problem once - and for all lenders - therefore saving significant time and headache upfront and ongoing, along with providing a better product to help make the lender more successful. They have seen that every lender is doing the same work and incurring cost and time for something that can be out-of-the-box while still allowing the special cases by lender. We have a passion for using this source of truth to help lenders across compliance, bank reporting, and other critical areas where having a third party "certify" the information could be useful. From a market perspective, Gestalt is built for start-up or early-stage lenders because for approximately the same cost as a data engineer, the lender gets a robust data warehouse that would typically take significant money, time and many redos to get to, if ever at all. Gestalt is also great for established lenders who want to scale up their business without scaling up the back office to build and support it.