# Michael Thomas

> Senior Software Engineer - Data

Location: New York, New York, United States
Profile: https://flows.cv/michaelthomas

Hi, I’m Michael.

I’m an analytically oriented, self-starting, data driven individual with 8+ years of experience in the data ecosystem with the goal of unifying data with software to drive true value.

## Work Experience
### Senior Software Engineer - Backend/Data @ Perchwell
Jan 2025 – Present | New York, NY

### Lead Software Engineer - Data @ MarketOps
Jan 2023 – Jan 2024

### Senior Data Engineer @ LiveRamp
Jan 2022 – Jan 2023

### Senior Data Engineer - Machine Learning @ FanDuel
Jan 2020 – Jan 2022 | New York, United States

### Data Engineer @ Essence
Jan 2019 – Jan 2020 | New York, New York
- Bullt ETL pipelines using Apache Airflow on Google Cloud Composer. 
- Designed and managed Google BigQuery/ GCS data lake.
- Developed internal web tools for analyst to create customizable surveys and uploads video/banner creatives for panel studies (Flask, JQuerry, AppEngine, MySQL)
- Published internal python packages wrapping Looker’s API for data analyst/scientist to leverage.

### Campaign Architect @ SundaySky
Jan 2017 – Jan 2019 | New York, New York
Leverage the power of SundaySky smart video technology to efficiently allocate client media spend. 
Automate  various reporting needs utilizing  Redshift and Python. 
Helped test new ML algorithms in order to optimize targeting in RTB systems. 
Write ad hoc queries to analyze campaign health. 
Utilized Facebook’s marketing api in order to support SundaySky smart video on the Facebook platform. 
Utilize DCM, DV and VIQ pixels to ensure legitimate delivery of client spend.
Develop real-time alerts - splunk - to help track issues in data streams.

### Data Analyst @ bRealTime
Jan 2016 – Jan 2017 | New York, New York
Utilize R , Python (Pandas, Numpy, Scikit-learn), and MS excel to analyze RTB exchange data to manage and optimize header bidding campaigns in  AppNexus and Google Ad exchange.

Developed  Flask application to manage discrepancies with offshore team.

Constructed dashboards for clients to manage revenue and impression discrepancies between various Ad Servers.


## Education
### Bachelor of Arts (B.A.) in Economics
Tulane University
Jan 2012 – Jan 2016

### Applied Machine Learning
Columbia Engineering
Jan 2018 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/michael-thomas-b926a286
- Website: https://www.kaggle.com/mtmeanmachine
- Website: https://www.call-congress.com
- GitHub: https://github.com/MichaelJThomas-2016

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Source: https://flows.cv/michaelthomas
JSON Resume: https://flows.cv/michaelthomas/resume.json
Last updated: 2026-04-01