Grant Seward
Founder at Posthaste Labs
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGrant Seward is a founder and data-focused engineering leader with eight years of experience building startups and leading data science teams from seed-stage ventures to enterprise settings. Based in Seattle, he has held founding and senior roles at Posthaste Labs, Stemma, Tree Schema, and served as VP of Data at Stori Card and Sr Manager of Data Science at Walmart Labs, blending product-first thinking with operational rigor. He contributes to open-source metadata tooling—helping improve Amundsen’s backend lineage, CSV processing, and metadata APIs—demonstrating practical expertise in data infrastructure and Python. Grant pairs a Master’s in Business Analytics with hands-on ML Ops and fraud-detection leadership from Capital One, enabling him to translate complex analytics into reliable production systems. Colleagues describe him as results-driven and pragmatic, with a knack for shipping features that materially improve data discoverability and team productivity. He often operates at the intersection of engineering, data, and product, turning ambiguous problems into measurable outcomes.
8 years of coding experience
11 years of employment as a software developer
Master's Degree, Business Analytics & Decision Sciences, Master's Degree, Business Analytics & Decision Sciences at Virginia Commonwealth University
English
Github Skills (11)
csv10
metadata10
data-catalog10
api10
python10
apidoc10
csv-parser10
data-pipelines9
pytest9
data-pipeline9
sql9
Programming languages (5)
Github contributions (5)
amundsen-io/amundsen
Apr 2021 - Jul 2021
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 73 reviews, 17 commits in 3 months
Contributions summary:Grant primarily contributed to the back-end functionality of the Amundsen metadata application. They implemented features for extracting and processing CSV data, specifically focusing on table and column lineage, and badge associations. The user also updated and enhanced the metadata API to support user creation and updates. Their contributions involved significant changes to Python code, including the use of pyhocon, and additions to the testing framework.
scientistspythondatadata-scienceanalysts
tree-schema/tree-schema-ecs-example
Aug 2020 - Apr 2021
Contributions:1 review, 3 commits, 1 PR in 8 months
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