David L. Email & Phone Number

New York, Ny, Us

New York, Ny, Us

Mission: Build the best-in-class Dashboards and Notebooks products. We work with Cassandra, Postgres and Elasticsearch using Python and Go.As an engineering manager at Datadog, I strike a balance between management and technical contributions. As a manager, I:- Lead a team of engineers responsible for building scalable, reliable and secure systems that power our products- Have weekly 1:1s, coach, plan & prioritize new features- Ensure that the team is motivated, challenged and happy- Helps to remove roadblocks that prevent the team from doing its best work- Work closely with Product and Design to set the direction of our product- Establish a high standard of operational excellence; ensure the team consistently ships high quality code & architecture while minimizing incidents- Participate in a 24x7 on-call escalation policy for my teamAs a technical contributor, I regularly write code and participate in cross-organizational engineering efforts. Some of my contributions include:- Participating in our "Core Incident Commander" rotation -- a dedicated on-call rotation for our most severe incidents. My responsibilities include driving incident remediation and making decisions to optimize for mitigating customer impact, efficient resolution, and good internal and external communications - Architected and led the technical design and implementation of "Authenticated Public Dashboards" -- a new way to share public dashboards (https://docs.datadoghq.com/dashboards/sharing/) securely to non-Datadog users- Shepherded and contributed to our Version History product which allows customers to roll back their Dashboards and Notebooks to a point in time via a rich user interface- Championed Scheduled Reports for Dashboards from early development to release

New York, Ny, Us

Software Engineer focused on the backend of the Dashboards product. Responsibilities include (but not limited to):- Ownership of public dashboards, APIs (internal & external), storage, community libraries- Optimization of Dashboard Search functionality using Postgres & Python- Unification of Dashboard APIs to provide cohesive platform for internal & external users- Cross-collaboration with other teams at Datadog (Dataviz, Logs, APM, RUM)

Wilmington, Delaware, Us

Developed platform that enables users to train machine learning models, create training data, visualize their images, evaluate model performance and perform visual search. Projects include:* Re-architect platform from using Flux -> Redux + Redux Thunk + Redux Sagas for better state management and concurrent updates* Implementation of shared styleguide for React components* Led implementation of next-gen labeling, including functionality allowing for (1) Application Sharing (2) Golden Sets for training data (3) Clustering* Performance tuning using react-window for virtualization of DOM and Intersection Observers for infinite pagination* Implemented Progressive Web Application that allows users to snap & upload photos directly to their Clarifai applications using their mobile devices* Cross-functional work with all teams to ensure we ship cutting edge, mission critical features for our internal users and customers

Wilmington, Delaware, Us

Sunnyvale, Ca, Us

Full-stack software engineer. My technical stack consists of: - {node | express}.js, Postgres, Vespa - frontend (React, Redux, d3, jQuery, Handlebars) - CI / CD (Jenkins, Screwdriver)Projects include:* Implemented scalable, tunable and highly configurable search functionality across Yahoo Developer Network. Features include: - Search index using Vespa - From-scratch serialization of all web pages owned -> json running on CI/CD daily - Page ranking algorithm to surface content based on tunable parameters - Contextual search & infinite pagination* Implemented API Console for Flurry Metrics + Analytics using raw HTML, CSS and JavaScript* Implemented internal metrics dashboard using: - memcached for caching one-time metrics - Daily cron jobs that pre-fetch + pre-cache long-running queries - React + Redux + d3 (frontend) - Node + Express (api layer) + server-side rendering - { mocha | chai | expect }.js for unit testing - Selenium + Saucelabs for functional testing

Sunnyvale, Ca, Us

• Developed new features to a Metrics Dashboard using cutting edge features of ES6 JavaScript, React.js, Node.js, Express.js and Babel.js• Implemented caching system using Memcached to speed up millions of queries to backend databases and APIs• End-to-End testing using Protractor.js, Selenium and Phantom.js• Unit testing using Karma, Mocha, Chai, Webpack, Gulp and Istanbul• Developed detailed guides, screencasts, blog posts and Mobile applications using Swift to demonstrate our Mobile Development suite

Washington, Dc, Us

• Developed a series of visualization applications using Node.js, D3.js, Flask and jQuery for the National Oceanic and Atmospheric Administration.

• Built a real-time notification system using Node.js, jQuery, Redis, and Socket.io for integration with Graphyte - a collaborative scientific research platform.• Explored visualization of deep learning networks using the scientific Python stack - NumPy, SciPy, Matplotlib and Theano.

Master’S Degree, Computer Science

Bachelor’S Degree, Computer Engineering