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Hey, I'm Jacob - a Data Engineer from Southern California with over 4 years of experience designing scalable, reliable data systems. I'm passionate about software engineering, automation, and building tools that make data teams faster and more effective. My main stack includes Python, Airflow, AWS, Terraform, dbt, and Spark, and I've been slowly learning Go on the side.

Some highlights of my work and technical focus include:

1. Developing batch and stream processing pipelines using Python, Airflow, and Kafka (via Debezium)
2. Designing and implementing ELT data models for analytics and reporting, primarily with dbt
3. Building and maintaining cloud infrastructure using Infrastructure-as-Code tools like Terraform and Terragrunt
4. Applying software engineering best practices, including unit & integration testing, CI / CD, and data governance principles such as data quality checks, lineage tracking, and access control
5. Owning the full development lifecycle for data solutions & services, from infrastructure and architecture design to service deployment and performance monitoring