Grant Wade

S

Staff Data Engineer at Tesla · Data pipelines

Tesla
Washington, DC · ET (UTC-5)
11+ years experience
Northwestern University
English
Co-founder
Messaging unavailable

Overview

Based in Washington. I work on data pipelines at Tesla. Shipped 13 launches on the data platform team without a rollback. Moved 64% of data platform traffic off a legacy monolith without a customer-facing incident. Before that: UnitedHealth Group and Salesforce. Volunteer coding coach for school students.

Good reasons to reach out
  • People who want to build this with me
  • Working sessions on Snowflake
  • Speaking or podcast invitations
  • Thoughtful intros to people in my field
Please don't message about
  • Data broker offers
  • SEO and link-building offers

Fastest replies in the morning

Skills
SparkdbtSnowflakePythonKafkaIceberg
Co-founderLooking for a co-founder
closes in 3 months

Looking for a commercial co-founder for data labelling for CPG brands

The idea
Data labelling for CPG brands
Stage
Customer interviews
I bring
14 years in demand forecasting
Looking for
Product-minded engineer
Commitment
Full-time now
Location
Washington or remote

I bring 11 years of data pipelines (currently Tesla). Ideally you've sold to enterprises. Pre-product, some customer interviews done.

Washington, DCpythonicebergkafka
Open

Experience

  1. Staff Data Engineer
    Apr 2024 - Present
    Tesla · 2 yr 6 mo · Full-time · Washington, DC
    • Cut forecast error from 29% to 8% across 1225 SKUs.
    • Taught SQL to 190 non-analysts.
  2. Senior Data Engineer
    Feb 2020 - Dec 2023
    UnitedHealth Group · 3 yr 10 mo · Full-time · Washington, DC
    • Cut forecast error from 32% to 9% across 2374 SKUs.
    • Reduced stock-outs by 15% in the first season.
  3. Data Engineer
    Mar 2017 - Dec 2019
    Salesforce · 2 yr 9 mo · Full-time · Washington, DC
    • Replaced 56 hand-built dashboards with one metrics layer people trust.
  4. Data Engineer
    Oct 2015 - Mar 2017
    Cisco · 1 yr 5 mo · Full-time · Washington, DC
    • Taught SQL to 33 non-analysts.
    • Wrote the metric definitions the leadership team reviews every week.

References

No references yet.

Education

  1. Northwestern University
    BA, Computer Science
    2010 - 2014

Details

Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections

Trusted Partners

Sponsored