Matt Reese Email & Phone Number

Austin, TX, US

Novi, MI, US

Austin, Texas, US

• Oversaw the deployment of the company’s first Airflow instance using AWS MWAA as the sole data engineer.
• Enabled the automation of its CI/CD through GitHub Actions and S3; created a dev Airflow instance, including a local dev database for testing purposes.
• Coordinated the implementation of DAG testing best practices to derive actionable insights for improvement.
• Drove the porting of numerous cron jobs to Airflow DAGs; enabled non-technical teams to input data into the production database through user-friendly Retool UIs.
• Extracted data from internal and third-party sources into the Postgres production database and Redshift data warehouse using Stitch and Airflow DAGs.

Austin, Texas, US

• Spearheaded the pivoting of the company’s customer data platform from Segment to Rudderstack, saving ZenBusiness tens of thousands of dollars annually.
• Supervised the development of Airflow DAGs and Stitch integrations to efficiently extract and load data from diverse internal and external sources; singlehandedly overhauled the company’s financial reporting system.
• Provided mentorship and direction to a team of 11 engineers.
• Appointed as an interface between frontline teams and senior/corporate management, communicating updates and ensuring alignment.

Austin, TX, US

• Designed and built a scraping infrastructure that utilized Python scripts, AWS Lambdas, and S3 to scrape and store publicly available healthcare data from websites and search engine search results pages.
• Devised new processes and data-driven solutions to maximize internal productivity and deliverable quality.

New York City, NY, US

• Established and updated a data infrastructure using Apache Airflow to encapsulate the company's various data sources for future reporting and analytics use.
• Selected Redshift as the data warehouse and an API for storing and utilizing dataset metadata.
• Directed the automation of the CI/CD involved in the data infrastructure's deployment.
• Liaised with data engineers and project leaders to ensure the efficient allocation of available resources.

Austin, TX, US

• Employed PostgreSQL, S3, and Redshift in executing transformations and validations on multiple higher education institutions’ extracted datasets.
• Recognized for consistently achieving successful, on-time, and within-budget application deployments.
• Served as a client-facing resource in defining and communicating technical requirements for data integration.
• Engaged with client representatives to present progress reports and discuss/resolve issues proactively.
• Conceptualized and introduced new data models to handle diverse student data sources for a new product; facilitated the deployment process for this product across multiple teams.

• Analyzed decibel levels of 2013 vs. 2014 F1 vehicle engines on the Circuit of the Americas track; data was presented at the 2015 Circuit of the Americas Operations and Planning Session.

Dallas, TX, US

• Performed various tasks to streamline the processes of data collection, compilation, cleaning, and preparation.
• Enhanced data quality and accessibility through robust pipelines.
• Transformed purchasing data from numerous healthcare facilities to ensure alignment with canonical data models.
• Evaluated and assured data integrity by conducting rigorous data analyses (e.g. assessing Levenshtein distance between values and calculating similarity scores based on Metaphone codes.)

Dallas, Texas, US

• Analyzed massive amounts of data in various ways with the end goal of providing potential or existing clients pricing quotes with the most financially optimal business arrangement to fit their reinsurance needs.