Our Team
Core Values
Mission-Focused
We have one central goal: deliver best-in-class software and services to enable our clients to solve the biggest, most complex marketing data challenges.
Courage
We stand up for what we believe in, do what needs to be done, are adept at problem-solving, and ask for help when needed.
Integrity
We foster a culture of trust, internally and externally, by relying on employees with a strong moral code and sense of personal responsibility.
Curiosity
We have a thirst for knowledge and are never afraid to ask tough questions. We try new things to drive new innovations in order to progress ourselves personally and professionally.
Leadership Team Members
Daniel Jaye
Mark Costanzo
Scott Sprunger
Jeff Storan
Tom Burg
Mark Sneathen
Joshua Brandt-Rauf
Tom Winchell
Michael Keohane
Narayanan R
Working at Aqfer
Our global workforce is a diverse group of individuals with a wide range of backgrounds and skills all coming together for one important goal: to help our clients and their customers overcome today’s most pressing data-related marketing and advertising challenges. We’re dedicated to understanding the constantly changing needs of our clients, and together we work to provide them with the solutions and services needed for them to thrive in today’s digital world.
Our core values are at the heart of everything we do at Aqfer and we’ve built an inclusive culture where our employees are able to grow personally and professionally. We of course value hard work, but we also believe strongly in a healthy work/life balance which is reflected in our remote-first work environment and flexible paid time off. Even though we may not always be together, building connections and strengthening our company culture are always top priorities, and weekly video gatherings and quarterly in-person events ensure we do just that.
Our Thoughts
Revolutionizing Marketing Data Processing with MicroBatch (µBatch) Technology
MicroBatch (µBatch) Processing is a game-changing approach to data handling, set to transform how marketers interact with their data streams.
The Hidden Costs of Spark: Why Pennywise Might Be Pound Foolish
At first glance, Spark seems like a straightforward, cost-effective solution for data processing at scale. However, as with many things that seem too good to be true, there are hidden costs and challenges that may be overlooked by even the most optimistic teams.
How to Build a Custom Analytics Solution
Your custom solution should be able to analyze all inputs to create compelling data visualization and drive decision-making. Explore key components and capabilities of a custom analytics solution.
Data Processing at Scale: Why Reliability Matters More Than You Think
The need for scalable, reliable data processing systems has never been greater. Many organizations turn to Apache Spark for its ability to process large datasets in a distributed fashion. But there’s more to the story than just speed and scalability.
Revolutionizing Data Storage: A New Approach to Row and Columnar Architecture
Learn about Aqfer’s Row-Comunar Model for data storage. This hybrid approach enables efficient compression of data to cut costs, while still allowing for lightning-fast data retrieval.
Using Diverse Models to Overcome AI Hallucinations
The key to combating AI hallucinations lies in diversity – not just in data, but in the very models and algorithms we use.