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Hello, I'm David Deal 👋

Background

I'm the Director of the Platform for The Linux Foundation, responsible for managing the LFX platform services, integrations, and overall execution. My primary role is a director/manager/technical lead, where I design/architect, implement, test/validate, deploy, and support the complete cradle-to-grave product design through production operations. I, directly and indirectly, manage a team of 20+ distributed multi-cultural engineers who support the products ranging from front-end developers to backend developers, design, quality assurance/testing, and documentation. My job duties involve interacting with internal and external stakeholders, performing demonstrations, interacting with vendors, and building large-scale integrations.

🔭 Current Projects

Some of my current tasks include:

  • managing internal data sources and integrations with external systems, such as Salesforce, HubSpot, GitHub, Snowflake (Data Wharehouse), Cision/Brandwatch/Google Analytics (Marketing Analytics), Cvent (Events), Sessionize (Speaker Proposals) and DocuSign (Contract/Legal).
  • capturing product requirements and building solutions. Duties cover BizOps, CloudOps, Support, IT, and Products/Services.
  • working on new onboarding automation workflows. This includes executing new workflows when events occur in our system (such as adding users to Slack, adding users to specific committees, and sending LFX platform invitations).

🌱 Currently Learning

Historically, I've been a long-time backend Java developer. Within the past 5-6 years, I've picked up Golang and have used it extensively across all the Linux Foundation tools and products. More recently:

  • I've started revisiting/relearning how neural networks (NN) and artificial intelligence (AI). Previously, in my career, I was exposed to and supported an NN project. I was always super curious, but never got to dive in deep. I'm now re-learning some of the core concepts by taking some Udemy training and reading the Deep Learning Illustrated book by Jon Krohn.
  • I'm also learning (re-learning) more about the current Data Engineering trends, building out layers of data models to support (re-)usability/composition and testing, all to support constantly evolving business specifications.
  • I'm tracking Rust's progress. I find the language interesting - especially the memory delegation model.
  • I continue to use/leverage Python. You can never know enough Python, IMHO 🧠.
  • Streamline our functional API testing using Cypress automation testing (as part of our CI/CD pipelines)
  • Although I'm a long-time Jetbrains IntelliJ user, I continue to evaluate the other IDEs with AI capabilities (IntelliJ + AI Assistant, VScode + CoPilot, Zed) :-)

💬 Ask me about

  • Living in San Diego
  • Soccer/Football
  • Electric Cars, Solar tech, renewable energy (I'm interested in the tech aspect of it)

⚡ Fun fact

I served six years in the US Navy as a crypto technician. I later transitioned to developing software (after working and going to school at night to get my degree) when the electronics job became "plug-and-play."

David Deal's Projects

artwork icon artwork

🎨 CNCF-related logos and artwork

aws-lambda-go-api-proxy icon aws-lambda-go-api-proxy

lambda-go-api-proxy makes it easy to port APIs written with Go frameworks such as Gin (https://gin-gonic.github.io/gin/ ) to AWS Lambda and Amazon API Gateway.

charts icon charts

Curated applications for Kubernetes

dealako icon dealako

David Deal's personal profile readme for dealako.

easycla icon easycla

The Contributor License Agreement (CLA) service of the Linux Foundation lets project contributors read, sign, and submit contributor license agreements easily.

examples icon examples

A collection of Pulumi examples, across many clouds, and many languages

kubernetes-ci-cd icon kubernetes-ci-cd

https://www.linux.com/blog/learn/chapter/Intro-to-Kubernetes/2017/5/set-cicd-pipeline-kubernetes-part-1-overview

nodepool icon nodepool

Manage a pool of nodes for a distributed test infrastructure

openexr icon openexr

The OpenEXR project provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry.

openvdb icon openvdb

OpenVDB - Sparse volume data structure and tools

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