Welcome Optigo’s new Data Solutions Architect

Jeff Downton Optigo
Meet Jeff Downton, the newest member of Optigo’s team

Meet Jeff Downton, the newest member of Optigo’s team

Optigo Networks is excited to welcome Jeff Downton as our new Data Solutions Architect. 

Jeff is a Big Data Software Developer with a wealth of experience in high-tech. His CV spans from leading technical innovation at the gaming analytics company Emberlight Technologies, to co-founding ACN Property Pilots, a startup for independent property owners (think Airbnb). And most recently, Jeff was the Big Data Software Developer at the data warehouse company, PHEMI Systems.

We sat down with Jeff to chat about his experience, what he’ll bring to Optigo, and what keeps him busy outside of work.

Monica McMahen (MM): Hi Jeff! We’re so excited to have you on the team. What drew you to working in our world of IoT?

Jeff Downton (JD): Thanks Monica! I believe we’re about to see some incredible growth in IoT due to the convergence of a few key enabling technologies. They include (1) scalable cloud computing, (2) distributed computing tools like Apache Spark, and (3) the growth of machine learning frameworks such as TensorFlow. Together, they’re dramatically lowering the barriers of entry for small- and medium-sized companies that generate large amounts of data and want to experiment with it. This convergence is also starting to produce some amazing findings that in turn become the building blocks for the next generation of thinking. This growth and maturity is exciting, and it’s why I’m drawn to the industry.

MM: I agree, it’s very exciting! You clearly know what you’re getting into by joining the data-filled world of Building Automation and Security. Can you tell us about the experience you gained before joining our team?

JD: I’ve been interested in tech for as long as I can remember. I’ve always wanted to understand the details of how things function. Professionally, I started working in tech around the time of the first dot-com bubble in 2000, with a smart group of developers who really inspired me. Back then everything was pretty simple, but you could see the potential starting to unfold — Google was ad-free and considered a search engine used only by developers, ha!

More recently, I’ve been interested and involved in projects relating to distributed computing and the analysis of large data sets. On one project, I worked with a group that analyzed very large sets of poker data to look for fraud. I also compiled competitive intelligence reports showing game popularity and individual playing styles.

Most recently, I was part of a team building a big data platform centered around PII (Personally Identifiable Information) data. There was a lot of attention placed on governance and security, as it was being deployed in highly secured corporate environments. It was the first time I’d worked with Hadoop in production and the learning curve was steep, but there are so many resources available and also, the Apache Hadoop community is also a very supportive group, and they have great conferences. I’d highly recommend attending.

MM: Wow, that’s some impressive experience! Could you tell us more about what you did in your last role?

JD: I wore a few hats in my last role. Initially, I was a backend developer writing Python and Java code for the Hadoop stack. The opportunity to work and understand how Apache Accumulo operates at a low level was especially eye-opening. Later on, I worked alongside customers as a solution architect and led small teams on a few focused initiatives which included SQL on Hadoop and data-flow processing at scale.

MM: Amazing! Of all of this experience, what are the biggest things that you are bringing to Optigo team?

JD: On the technical side, I believe my experience scaling and working with larger data sets will be an asset, especially since the industry is moving towards collecting and processing IoT data. I’ve also been an entrepreneur a few times before, so I understand the key drivers of business (sales, sales, sales). I bring that perspective to the technical meetings when decisions requiring company resources are discussed.

MM: What excites you about working for Optigo Networks?

JD: I’ve known many of the people at Optigo for a number of years, and they are a strong, capable, and energetic team. I’m excited and enthusiastic to be part of it; people are a big part of the equation for success.

MM: Why Optigo? You have amazing skills and any company would be lucky to have you. How did we get so lucky?

JD: Thanks for the compliment, but I feel lucky to be joining Optigo! My excitement about joining the team is a few relatively straightforward things. First, I think people are key, and Optigo has a really good team. Second, I believe the timing is right and that there’s a growing appetite for IoT solutions. The monster known as Amazon talked a lot about IoT at re:Invent 2017, if that’s any indication. Third, I think my skill set can be leveraged very effectively for what Optigo plans to do in the immediate future.

MM: What do you like to do outside of work?

JD: Last year I began rock climbing up at Squamish, and every year I try to pick a new sport or event as I enjoy being outdoors. This year I’d like to do a sprint-length triathlon (a.k.a. beginner level). I’m usually open for trying anything at least once.

Welcome to Optigo, Jeff!

Recent Blog Posts

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Recent Projects

Penn State University Visual BACnet Site Monitoring Optigo Networks


When Tom Walker first started working at Penn State University four years ago, there were a lot of network issues. Buildings were dropping offline. Broadcast traffic was pushing 90,000 packets per hour. Walker was on the phone almost every single night because devices were down or had to be reset.


Torre Manacar Optigo Networks Optigo Connect Mexico City High-rise shopping centre


When MR Soluciones began work on Torre Manacar, they knew they needed a flexible and scalable network infrastructure to support a wide array of integrated systems. Optigo Networks was a natural fit for the massive project, designing a robust network at a competitive cost.



Short Pump Town Center, an upscale retail center, underwent a complete renovation in 2014. The flexibility of Optigo Networks’ solution meant the retail center’s unknown final design was not a barrier to placing IP surveillance equipment in the field.



Optigo Networks connected New York-based Boulevard Mall’s security surveillance devices in December 2015, using a Passive Daisy Chain topology.

Tech Support Team


One tech support team at a manufacturer purchased an account with Visual BACnet in April 2017, for technical problems around the world.

Aster Conservatory Green


The Aster Conservatory Green is a residential community comprising 352 residences across 24 low-rise buildings. The buildings use advanced surveillance and access control technology, including 40 HD video cameras and 60 FOB-access-tele-entry points for access control.



When Delta Building Automation (Australia) won the BMS Upgrade at 25 National Circuit for the Australian Trucking Association, they partnered with Optigo Networks to create a secure and robust Building Services Network (BSN). Optigo Connect more than delivered on this project with a scalable solution that restored the building network to perfection.

Optigo Connect Seattle Stadium


Optigo Connect offered a simple, cost-efficient solution for a premier Seattle-based stadium. Optigo Networks’ design improved the surveillance system to crystal clear perfection, made it dependable, and allowed the security system to scale with the addition of more than 40 16MP cameras.



Optigo Networks and Controlco offered a secure and scalable solution for four data centers’ HVAC and Access Control systems throughout the United States. Optigo Connect’s performance in the first data center was so impressive, the client asked that Optigo replicate the network design for three other data centers.



Energy analytics company BUENO Systems was working on a mall when the worst happened. The network failed and equipment failed to “ON,” which kept units running 24 hours a day. As it turns out, the mall’s network was overloaded and glitching before BUENO even deployed. It had been for a while. These latent issues were a ticking time bomb and would have resulted in a failure if any new devices were added to the network. Because it was BUENO’s device, though, they had to fix it. The only way to fix it was out of pocket.