About

Chris Crawford is a skilled data engineer and U.S. Air Force veteran with extensive experience in data engineering and data science. He specializes in leveraging cloud services such as AWS, Google Cloud, and Azure, as well as modern data science tools like SQL, Python, Spark, Docker, and more to build data pipelines, serve data products, and enable leaders to make data-driven decisions. Chris earned a Bachelor's degree in Biology after his military service and used his microbiology knowledge in the beer brewing industry, analyzing yeast and beer characteristics through chemical and sensory analysis. He then pursued a Master's in Bioinformatics while analyzing water contamination on construction sites part-time. During his internship with Adaptive Biotechnologies, he developed a tool to perform statistical independence tests on post-processed DNA sequencing data and generated publication-ready visualizations using Python plotting libraries. Chris has worked on various projects, including creating a scalable method for generating data visualizations of running data (GPS data) with AWS at Smashrun, creating data reporting pipelines using Cron and Kaggle's Python API at Kaggle, and using Azure cloud services at Team Rubicon to implement and maintain the infrastructure that allows the organization to quickly make informed decisions and coordinate responses to disasters worldwide. Chris's past experiences also include developing a new competition format at Kaggle, analyzing user behavior, retention, and growth using SQL Server, BigQuery, Google Analytics, and Jupyter Notebooks, and maintaining Docker images used to host Jupyter Notebooks with a massive library of data science packages for both Python and R. With a background in aviation maintenance technology and a passion for data science, Chris has a unique skill set that makes him a valuable asset to any team. He has a strong tech stack that includes data engineering, AWS, data science, SQL, Python, Spark, Azure, Docker, Jupyter, ML, Seaborn, Databricks, data warehousing, web development, ETL, research science, and Scala. With 6.46 years of relevant experience, Chris is a reliable and efficient data engineer that can help organizations harness the power of data to drive their business forward.