Experienced Data Engineer with a proven track record in the Healthcare and Advertising industries. Skilled in leveraging modern cloud environments to design robust data pipelines and infrastructure for efficient processing, transformation, and analysis. Implemented scalable solutions to optimize data workflows, ensuring high data quality and reliability. With experience in analysis as a Data Scientist, I bring a unique understanding of modern data engineering problems. Educationally, I hold a BA in Math, Economics, and Computer Science from Oberlin College, providing a solid foundation in theoretical principles and practical application. Passionate about leveraging data-driven insights for strategic decision-making and business growth, I excel as a collaborative team player. I have a knack for identifying opportunities, designing innovative solutions, and delivering results that align with organizational objectives. TECHNICAL SKILLS: - Cloud-based Development: AWS (Redshift, S3, Cloudformation, Lambda, ECS, EC2, EMR, DMS, GCP (BigQuery), Snowflake - Machine Learning: Data Robot, Tensorflow, Keras, AWS Sagemaker - Big Data: Apache Hadoop, Spark, Sqoop - ETL Development: Airflow, AWS Data Pipeline, AWS Glue, Python - Programming Languages and statistical software: Python, SQL Java, C, Bash, R - Scripting Languages: UNIX, Bash, Python, SQL - Databases: Snowflake, Redshift, BigQuery, Postgres - Visualization Tools: Tableau, Neo4j