Hey there! I'm Frank.

I am a data engineer! I love architecting and implementing high-impact, scalable data solutions. My key achievements here include pioneering an event-driven streaming framework to ingest high-volume Kafka data into Snowflake, establishing my organization's first near real-time data processing capability. I also engineered a robust Data Contract framework, automating its deployment via CI/CD with GitHub Actions and providing critical access through a Python/FastAPI REST API hosted on AWS. Furthermore, I delivered significant business value by automating a manual force closed accounts workflow, reducing the time spent closing accounts by 75% through an end-to-end ETL pipeline into Salesforce.

My core expertise lies in Python, SQL, Apache Kafka, Snowflake, and the AWS ecosystem (Lambda, DynamoDB, S3). I am highly proficient in modern data architecture, including event-driven streaming, medallion architecture, and building automated ETL/ELT pipelines.