I work with customers and brilliant Twilions to deliver solutions which make B2B customer communications via the world’s best CPaaS more secure, resilient, and scalable.

Teamed up with stakeholders and engineering across a globally distributed workforce to deliver a modern data platform which successfully replaced Twilio's largest database, on their largest product line, is capable of processing billions of events per day, and was able to ship this platform to production with zero customer-facing downtime.

I was product manager for data platforms which supported the demand side advertising systems for Yahoo’s global programmatic omnichannel digital advertising exchange and ensured our investments in data teams were spent well. I also sat in the W3C Web Advertising Business Group and built internal knowledge bases on Apple’s ITP / SKADNetwork and Google’s Privacy Sandbox used by peers at the company to surface and fund domain level initiatives to evolve the entire business in light of the evolving privacy landscape.

I work on the team that has made real time data processing and reporting at scale a reality across many of Yahoo's advertising and publishing platforms. I'm also my team's Scrum master and help manage the challenges my team faces on a day to day basis (coordinating with support teams, hardware acquisition, requirements elicitation) as well as communicating progress to external stakeholders and planning upcoming features. Here is a list of some of the tools/technologies/workflows I use in this role:Apache StormDruidJavaIntelliJRedHatChefJenkins/HudsonMavenSpringJira/BugzillaAgile/Kanban workflowPerlBash

I manage a team responsible for ensuring that our numbers are good for all of Factset's fixed income offerings. This includes validating third party data, and identifying/quantifying the impact of code changes and system nuances at a macro level. There isn't really a book on how to QA analytics so we're writing it as we go along. Historically the group has had a manual testing focus but we've been working relentlessly on automating our testing processes to streamline the running of tests and analysis of results.

My work is 50/50 between technical and business tasks. On the technical side. This includes:- Building internal web service in Django for allowing stakeholders to drive tests and get detailed reports without QA intervention- Maintaining and enhancing legacy scripts written in Perl and porting them to Python as needed.- Wrote a test suite which decoupled analytics system from interface, allowing tests to focus exclusively on issues with analytics.- Organizing tests by financial domain- Writing reports used by financial developers to understand how the impact of their code changes on individual tests and trends over multiple tests.On the business side, I work with PD as new functionalities are being implemented to ensure that tests stay current and I triage bugs/enhancement requests so development and management are aware of issues requiring the most attention.Technologies I've used at this job (in order of most used):pythondjango (sqlite backend on nginx)jquery, jquery-uiperlhtml/cssLinux (specifically Debian)perforce (SCM)sql (sql server, sqlite, mysql)Visual StudioC#C++JAMS (enterprise message queue)VMS

I was a web developer on an agile team (using C#/.Net 3.5/Visual Studio 2k8/SSMS/Html/Css/javascript/extJS) for Media Metrics

I worked on Rational Quality Manager as a web developer on a framework for rendering application artifacts as pdfs.

I managed 10-15 employees for a package sorting operation which processed 150k - 300k packages per four-hour shift.