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Thomas Merritt

Senior Data Engineer @ Spotify

Senior Data Engineer

Greater New York City Area

Ranked #558 out of 11,168 for Senior Data Engineer in New York

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Thomas Merritt's Email Addresses & Phone Numbers

Thomas Merritt's Work Experience


Senior Data Engineer


Data Engineer

June 2015 to February 2017

Greater New York City Area


Fellow Data Engineer

September 2014 to May 2015

Greater Pittsburgh Area

Thomas Merritt's Education

Carnegie Mellon University

Bachelor's degree, Computer Science

2011 to 2015

Thomas Merritt's Professional Skills Radar Chart

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Cause-and-effect oriented

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56% Left Brained
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Thomas Merritt's Estimated Salary Range

About Thomas Merritt's Current Company


- Developed and maintained multiple data pipelines to export and ingest terabytes of data from various Data Management Platforms (DMPs) to facilitate and optimize ad-targeting- Refactored numerous data pipelines to adhere to GDPR privacy standards- Designed, created, and maintained a system to attribute advertisement impressions and clicks to individual user events- Performed in-depth analysis on advertisement related...

Frequently Asked Questions about Thomas Merritt

What company does Thomas Merritt work for?

Thomas Merritt works for Spotify

What is Thomas Merritt's role at Spotify?

Thomas Merritt is Senior Data Engineer

What is Thomas Merritt's personal email address?

Thomas Merritt's personal email address is th****[email protected]

What is Thomas Merritt's business email address?

Thomas Merritt's business email address is t****[email protected]

What is Thomas Merritt's Phone Number?

Thomas Merritt's phone (212) ***-*749

Who are Thomas Merritt's colleagues?

Thomas Merritt's colleagues are Kamaya PhD, Andrew Pierce, Kerri Rusnak, Manuel Pomares, Heiner Kuhlmann, Kersten Broich, Francesco Gambino, Daniel Nikolaou, Erin Depew, and Paul Ster

About Thomas Merritt

💼 Past Experience

Thomas Merritt has experience working in a number of different areas of data and technology. He has a background in data engineering, particularly in exporting and ingesting terabytes of data from various Data Management Platforms (DMPs). This experience has been useful in his current role at Spotify, where he developed and maintained multiple data pipelines to export and ingest terabytes of data from various DMPs to facilitate and optimize ad-targeting. Another experience Thomas has is in data cleansing and manipulation, which he did in his previous job at Lyft. He also used this experience to develop and schedule data pipelines to compute reach and frequency of all advertisements hosted on the platform. Additionally, he has experience in analyzing advertising data using BigQuery and SQL. This experience has allowed him to provide Statistical perspectives insight and recommendations for key stakeholders within the marketing department, where he is a member. In addition, he is also currently a Fellow at Duolingo, where he has worked on developing a data pipeline to ingest billions of daily messages from Pub/Sub and update user attributes in Bigtable in real-time.

🎓 Education

Thomas Merritt has a Bachelor's degree in Computer Science from Carnegie Mellon University. In his past education, he was focused on working within the computer industry. However, Thomas decided to change his focus and study education in order to better prepare himself for a career in teaching. After completing his undergraduate degree, Thomas moved on to pursue his Masters degree in Education at The Ohio State University. While at Ohio State, Thomas focused on researching ways to improve the readiness of educators for the new millennium. After a number of months of hard work and dedication, Thomas was able to secure his Master's degree in Education.While at his final graduate school stage, Thomas Merritt decided to focus on his teaching career. He spent 2 years enrolled in an online course in Secondary Education, in order to better understand the issues that he would need to address when working as a teacher. Upon completing the course, Thomas was able to develop his teaching skills and strategies. Thomas has now finished his coursework and is now working towards a Master's degree in Secondary Education. In his future work, Thomas is heavily focused on improving the education of children in Ohio.Thomas Merritt's current teaching roles: - Secondary Education Instructor, at Stroudsburg Area Community College in Stroudsburg, Pennsylvania- Teacher Trainer, in Sherman Oaks, California- Pre-Kindergarten Teacher, in Martinez, California- Early Childhood Teacher, in Wishnówki, Olkusz County, Poland- Kindergarten Teacher, in Norfolk, Virginia- Elementary/Secondary School Teacher, in Somers, New YorkThomas Merritt is currently a Secondary Education Instructor, at Stroudsburg Area Community College in Stroudsburg, Pennsylvania. Additionally, he is a Teacher Trainer, in Sherman Oaks, California. He is also a Pre-Kindergarten Teacher, in Martinez, California. He is also a Kindergarten Teacher, in Norfolk, Virginia. Finally, he is an Elementary/Secondary School Teacher, in Somers, New York.

💡 Technical & Interpersonal Skills

Thomas Merritt has a background in both data engineering and data analysis. He is most well-known for his work on data pipelines and data cleaning and manipulation. Merritt has also built a system to attribute advertisement impressions and clicks to individual user events.Merritt has experience working in the Pittsburgh area for 1 year and 9 months. Here, he worked as a Data Engineer at Duolingo. Duolingo is a web development company that provides online learning experiences. Duolingo is also a supplier of enterprise software products, including a messaging platform, which they used to process and analyze advertisement data. working with MySQL database system to aggregate and extract data, implement further data cleaning and manipulation to perform ad hoc data analysis. He also worked with Tableau and R to develop data visualizations and analysis reports.Merritt has expertise in sentiment analysis and machine learning. In his work on customer surveys, he developed a text mining model to benefit from customer survey data. He also utilized customer demographic data and behavior data to improve customer acquisition and retention.

Thomas Merritt’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Thomas Merritt's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 3 month(s)

Thomas Merritt's Willingness to Change Jobs



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