Moe Aye

I’m a Data Engineer / Analytics Engineer who specializes in building reliable data pipelines and data quality systems, with experience spanning SQL, automation, and validation. After a break to homeschool my children, I rebuilt my technical skills through modern Data Engineering projects and now focus on trustworthy, production-minded data workflows.

I’ve built and evolved end-to-end pipelines across local, serverless AWS, and lakehouse architectures—such as a CDC chronic disease ETL/ELT pipeline that progressed from Dockerized Airflow + Pandas + Postgres to Lambda/Glue/Redshift and then a Databricks Lakehouse. I also deliver real analytics enablement, including a serverless real-time weather stream (Athena + Streamlit) and a text-to-SQL interface that translates natural language into executable queries for both technical and non-technical users.