Christopher Costello Email & Phone Number

Nashville, Tennessee, US

• Established a PostgreSQL data warehouse with automated ETL processes via Fivetran
• Implemented DBT (Data Build Tool) pipelines for all data warehouse tasks, ensuring efficient and reliable data transformations
• Deployed Metabase open source instance and connected the data warehouse to facilitate self-service analytics and automate BI reporting
• Advanced infrastructure as code (IaC) adoption using Terraform, facilitating scalable and consistent infrastructure provisioning and management
• Developed and maintained various robust, fault-tolerant web scraping solutions with mechanisms to handle site changes, bot detection, dynamic content loading, and rate limits

New York, New York, US

• Data ingestion and pipelining using Python, Scala and Spark, and systems architecting on AWS
• Data Engineering team representative on multiple projects, responsible for systems architecting, leading my team’s efforts on those projects, and acting as liaison for cross-team collaboration
• Spearheaded the development of a robust data catalog, integrated with Databricks and DBT, to streamline data discovery, enhance data governance, and enable data lineage tracking
• Optimized CI/CD pipelines using Docker, resulting in a significant reduction of deployment time by 50% for multiple code repositories, streamlining deployment
• Developed and implemented a custom Slack bot integration with our CI/CD pipelines, improving release visibility and promoting communication between development and analytics teams
• Initiated and led efforts to enforce adherence to industry best practices, including PEP 8 standards and reducing boilerplate, resulting in improved code readability, maintainability, and team collaboration

New York, New York, US

• Developed products involving text mining, natural language processing (NLP), time series forecasting, and a combination of collaborative filtering and content-based recommender systems to solve problems in the B2B.
• Introduced automated hyper-parameter tuning to the Intelligent Forecast models, improving the accuracy of some revenue predictions by as much as 60%
• Built an end-to-end process for mining information from unstructured and semi-structured text and leveraging the data to inform entity resolution processes and enrich person and organization records
• Engineered a robust daily action recommendation system with 50+ types of suggestions based on activity observed in the network to optimize closing deals
• Created framework for ETL from MongoDB to our data warehouse which saw adoption by other teams

Staten Island, NY, US

• Web development with HTML, CSS, JavaScript, PHP, and MySQL

New York, NY, US

• Conducted extensive research that culminated in the publication and presentation of my paper, "Detecting and Analyzing Privacy Leaks in Tweets", at the DATA 2018 - 7th International Conference of Data Science.
• Leveraged the Twitter API to mine relevant data and crowdsourced Twitter post annotations via Amazon Mechanical Turks to support the project
• Trained binary classification models on annotated Twitter posts and utilized industry-standard data visualization packages for R and Python to visualize the results
• Created dashboard visualizing results using R Shiny and deployed via AWS
• Conducted geospatial analytics of results using R and QGIS