Summary
Simon Parsons is a data engineering consultant with eight years’ experience building scalable cloud data platforms and pipelines for politics, science, and conservation. He engineered the infrastructure behind the largest known individual-level meta-analysis in politics—connecting data for 65 million people across hundreds of studies—using AWS, Spark, Python, and SQL, and has deep experience in data governance, blinding, and quality control from DARPA-funded reproducibility work. Simon advises clients on data strategy, privacy, and automation while creating educational resources that translate complex engineering into practical practices for non‑technical teams. His background in ecological research and a Master’s thesis analyzing 30+ years of worldwide data gives him uncommon strength in combining domain science with production ML-ready datasets. Based in Philadelphia, he balances hands-on pipeline construction (dbt, Airflow, Snowflake, Terraform) with a consultant’s focus on robust, auditable data assets.
8 years of coding experience
4 years of employment as a software developer
Data Engineering Nanodegree Graduate, Data Engineering Nanodegree Graduate at Udacity
Bachelor of Science (B.S.), Wildlife Ecology, Bachelor of Science (B.S.), Wildlife Ecology at University of Florida
Portuguese