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• Trained computer vision models for the classification of company logos for brand recognition and to quantify value of sponsorships

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 sales space• 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, Technology, and Applications• 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