Morris Feldman - Chief Data Architect

Morris Feldman

Chief Data Architect

Oberlin, Ohio, United States

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Summary

👤

Senior

🎓

Top School

Morris Feldman is a Chief Data Architect with 13 years of experience turning complex research-grade problems into production data platforms, currently leading AppsFlyer’s data architecture from Spark pipelines to ClickHouse and Druid-backed analytics. Trained as a PhD biophysicist and former Weizmann post-doc in epigenetics, he blends deep quantitative rigor with pragmatic engineering to solve Big Data challenges. At AppsFlyer he moved from software architect to chief architect, owning the full data stack and delivering APIs and middleware that power product dashboards at scale. An active contributor to Clojure data tooling—improving performance and charting in the notable Incanter project and helping bootstrap the Drake workflow front end—he brings both research curiosity and hands-on open-source craftsmanship. Based in Oberlin, Ohio, he’s known for translating academic insight into scalable, testable data systems.

13 years of coding experience

Doctor of Philosophy (PhD) Biophysics, Doctor of Philosophy (PhD) Biophysics at University of California, San Francisco

Bachelor of Arts (BA) Biology and Geophysics, Bachelor of Arts (BA) Biology and Geophysics at University of Chicago

Github Skills (10)

clojure10

statistics10

functional-programming10

statistic10

clojure-cli10

data-analysis10

testing9

unit-testing9

parsing8

text-parsing8

Programming languages (7)

JavaScalaGoVim scriptRubyVim ScriptClojure

Github contributions (5)

Factual/drake

Feb 2014 - Oct 2014

Data workflow tool, like a "Make for data"

Role in this project:

Back-end Developer

Contributions:16 commits in 8 months

Contributions summary:Morris primarily focused on developing the back-end functionality of a data workflow tool. Their contributions include the initial implementation of a Clojure front-end, which involved adding new namespaces and converting core functions to public access. They refactored code to reduce duplication and improve the structure of the parse tree. The user also added features such as variable substitution and implemented tests, improving the functionality and maintainability of the tool.

datalogpythondata-workflowworkflow-tooldata-integration

incanter/incanter

Aug 2013 - Aug 2013

Clojure-based, R-like statistical computing and graphics environment for the JVM

Role in this project:

Back-end Developer / Data Scientist

Contributions:5 commits in 2 days

Contributions summary:Morris primarily contributed to the `incanter` repository, a Clojure-based statistical computing environment. They focused on enhancing the charting capabilities by adding functionality to customize scatter plot point sizes. Additionally, the user optimized the `$group-by` function, improving its speed by integrating Clojure's built-in `group-by` function. Furthermore, they implemented features such as `rename-cols` and added tests for the implemented features.

statisticaljvmcomputingclojuregraphics

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