David Hardtke
Data Engineer
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Hardtke is a seasoned data engineer and former machine learning leader with 15 years of experience building production ML and analytics systems across startups and large tech companies. Currently at Rippling, he previously led ML, recommendation, and advertising science teams at LinkedIn, Pandora, and Bright (acquired by LinkedIn), and has deep expertise in end-to-end experiment analysis, uplift/incrementality measurement, and large-scale batch training pipelines. He combines hands-on engineering (BigQuery, dbt, Looker/Redash) with statistical rigor, having been the go-to liaison on experimental design and inference for product and business stakeholders. His background spans founding startups, directing search and relevance work at Cloudant and Surf Canyon, and even experimental nuclear physics research (Ph.D.), reflecting a rare blend of academic rigor and product-focused execution. Notably, he has repeatedly translated complex behavioral and ad-systems signals into actionable models for revenue and user-growth optimization.
15 years of coding experience
29 years of employment as a software developer
B.S., Physics, Canadian Studies, B.S., Physics, Canadian Studies at Duke UniversityPh.D., Experimental Nuclear Physics, Ph.D., Experimental Nuclear Physics at The Ohio State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
dbt4
data-governance3
audit3
data-lineage3
data-analytics3
bigquery2
Github contributions (5)
cloudant-labs/SearchApp
Jan 2011 - Mar 2012
Contributions:10 commits in 1 year 1 month
deal/dbt_ml
Feb 2021 - Jan 2023
Package for dbt that allows users to train, audit and use BigQuery ML models.
Contributions:1 review, 8 pushes, 5 branches in 1 year 11 months
data-analyticsml-modelsanalytics-engineeringbigquery-mlaudit
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