Matt Powers
Co-Founder, Head Of Engineering & Product at Trajektory
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMatt Powers is a data-focused engineering leader and co-founder with 13 years of experience building B2B SaaS from zero to $5M+ ARR while scaling product and engineering teams to ~15 people. As Head of Engineering & Product at Trajektory he combined hands-on backend, data and architecture work with customer-facing product strategy to drive growth and technical scale. He has a strong background in data engineering and developer advocacy, contributing to prominent open-source Spark and PySpark tooling (spark-daria, quinn) and improving data prep/test automation in projects like optimus. Comfortable in Rust, Spark and Python, he blends practical data math with production-grade engineering and a test-first mindset. His early career includes Google Cloud residency and analytics work for sports and enterprise teams, reflecting an ability to translate analytic insight into product impact. Based in New York with an MS in Data Science from Northwestern, he pairs startup grit with rigorous data engineering craft.
13 years of coding experience
1 year of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Northwestern UniversityUniversity of Illinois Urbana-Champaign
Stackoverflow
18,768reputation
7.3mreached
274answers
57questions
dataframe
top-5%
ruby
top-5%
rails-migrations
top-5%
jar
top-5%
hadoop
top-5%
ruby-on-rails
top-5%
Github Skills (37)
unit-testing10
spark-sql10
apache-spark10
data-validation10
pytest10
python10
testing10
data-manipulation10
dataframes10
pyspark10
dataframe10
scala10
data-transformation10
rdd10
unit-test10
Programming languages (20)
Github contributions (5)
mrpowers-io/quinn
Sep 2017 - Jan 2023
pyspark methods to enhance developer productivity 📣 👯 🎉
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 10 reviews, 105 commits in 5 years 5 months
Contributions summary:Matt implemented and tested new methods within the `quinn` library, specifically focused on enhancing PySpark development productivity. Their commits demonstrate the addition of DataFrame transformations and column extensions, providing new functionalities for data manipulation. The user also contributed to extending the `SparkSession` class and creating helper functions for common data tasks. Furthermore, they have added functions to validate data and manipulate dataframes for more flexibility.
pythonproductivitydeveloper-productivitysparkapache-spark
mrpowers-io/spark-daria
Feb 2017 - Feb 2022
Essential Spark extensions and helper methods ✨😲
Role in this project:Back-end Developer
Back-end DeveloperContributions:54 releases, 8 reviews, 391 commits in 5 years
Contributions summary:Matt primarily contributed to the development of the `spark-daria` library, focusing on enhancing its functionality for Spark SQL. They added a transformation to snake case the columns of a DataFrame and implemented new methods to chain UDFs and SQL functions. They also implemented methods to validate schemas and column presence within DataFrames.
dataframespark-mlsparkessentialscala
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