About

Ale Fautsch is a Lead Data Engineer at Self Financial, Inc. with over 10 years of relevant experience in the field of data engineering, infrastructure, AWS, ML, data science, research science, and software engineering. He holds a Master's degree in Management Information Systems from Texas A&M University and a Bachelor's degree in Sports Management from the same institution. Ale's passion for data is evident in his LinkedIn summary, where he talks about how the communication and application of data is at the core of his strengths. He is always looking to learn and utilize new technologies, especially in the field of machine learning, and is currently building a data platform from scratch in AWS at Self. He is motivated by challenging and meaningful work alongside diverse and talented peers who he can learn from and teach. In addition to his current role, Ale has also worked as a Sr. Data Infrastructure Engineer at Self Financial, Inc. and as a Data Platform Engineer at Sparefoot. At Sparefoot, he was part of a fast-growing data platform responsible for enabling BI and enterprise data syndication. He was involved in building and managing the enterprise data platform by consolidating data in a data lake on S3, managing metadata in consolidated AWS Glue Metastore, enabling at-rest access of data through Athena and Redshift Spectrum, automating schema management and data processing in SQS and Lambda, scheduling and orchestration of workflows in Airflow, and integrating new data across merging companies. Ale's tech stack includes a wide range of data engineering and infrastructure tools such as AWS Glue, Apache Airflow, and Amazon Athena, among others. He is always looking to expand his network and is open to questions, suggestions, or even just talking about the latest and greatest in data visualization libraries.