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Gemineye announces NuMark Credit Union as newest data lakehouse client

Gemineye’s collaborative approach, technical capabilities, and flexible integrations sealed the deal for $880M NuMark CU

Sandwich, MA (September 19, 2025) |

Credit union and community bank data analytics provider Gemineye is thrilled to share that $880M, Chicagoland-area NuMark CU is their newest data lakehouse client. Gemineye’s world-class, Fortune 50 Databricks and Microsoft architecture, flexible integration structure, and client-ownership model made it the obvious choice for the growing credit union who recently acquired a bank.

“From the very first conversations, they stood out for their flexibility and technical depth,” says Kevin Quinn, CIO at NuMark CU (pictured). “They were able to meet us where we are, offering solutions that fit into our existing systems without requiring major changes or compromises. One of the biggest reasons we chose Gemineye was their architecture. They provided a Databricks resource within our Azure environment, giving us full control to build and expand our ETLs using a wide range of data integration tools.” 

Indeed, Gemineye’s category-defining use of world-class technology rails is a compelling benefit for financial institutions who are growing but still conscious of cost and efficiency. “That kind of freedom was important to us, especially as we look to scale and evolve over time,” says Quinn. “They’re doing innovative work with Databricks and Power BI, things we hadn’t seen from anyone else. They also offered support in areas like data governance and analytics, which is incredibly valuable as we’re just starting out and still shaping our direction.

Maggie Chopp, Director of Business Development at Gemineye comments, “The Gemineye team is excited to welcome NuMark to our client group and thankful for collaboration and trust they've extended. They recognize the importance of investing in a solution that both grows with them, and that they own – not a vendor. We look forward to their ongoing success!”

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