– led development of a high-throughput Reverse ETL product with Kafka, Kubernetes and Go

– developed API integrations for the Zapier platform in TypeScript and Python

– aligned technical direction across teams to see through architectural decisions

– provided technical guidance to product management to ensure the success of our roadmap

– mentored my team on topics in Data Engineering and Event-Driven Systems

– re-architected our monolith to scale with both user demand and org growth

– aligned technical and business language using Domain-Driven Design principles

– organized and facilitated our cross-functional GraphQL stewardship group

– restructured tests to run more efficiently with higher coverage

– managed multi-region AWS infrastructure with Terraform

As a machine learning engineer on Crowdstreet's data team, I developed

– ML models for asset allocation and portfolio optimization

– streaming change data capture (CDC) from our production Postgres database to Snowflake

– Data Vault warehouse modeling and data transformations within Snowflake using DBT

– pipelines to train, serve and monitor machine learning applications

– batch ingress from 3rd party SaaS applications with Airflow clusters