As a Senior Data Engineer at The New York Times, I lead the dbt as data transformation layer initiative at Wirecutter, the product review site owned by NYT. I implemented the first productionized dbt model, utilizing the Google Cloud Platform ecosystem (BigQuery, Cloud Builds, Cloud Composer). I also fine-tuned dbt and BigQuery database performance, reducing data transition time and improving data quality and reliability.Before joining NYT, I worked as a Data Engineer at Initiative, a global media agency, where I automated Python ETL pipelines to pull reports from multiple data sources and APIs, such as Facebook, Twitter, Snapchat, Nielsen, and Amazon Audience. I also led consultation projects on how to optimize SQL queries and stored procedures performance, and designed database schemas on Microsoft SQL Server and Snowflake. I have a Master's Degree in Customer Intelligence and Analytics from Pace University - Lubin School of Business, where I won a case competition on business strategy and data science. I am proficient in LookML, HiveQL, Amazon Elastic MapReduce, R, SQL, dbt, and machine learning with big data.
Listed skills include Microsoft Office, Teamwork, R Programming, Python, and 38 others.