Summary
Paul Claessen is a Senior Data Engineer with 11+ years building data-intensive systems and production ETL/ELT pipelines across AWS, Snowflake, Cassandra, MongoDB and relational sources. He combines hands-on Python/Pandas work moving terabytes of telemetry and geospatial data with infrastructure-level ownership—managing EC2, load balancers, RDS and observability stacks like Prometheus, Grafana and Percona. Paul has driven end-to-end solutions from CDC and Kafka-based streaming to serverless orchestration and dbt-enabled transform workflows, and has prototyped graph ingestion for Neo4j and predictive maintenance models that translated raw telemetry into operational savings. His cross-industry experience spans telecom, fleet management, publishing, insurance and CPG, and he’s notable for operationalizing DevOps practices (instance patching, SSH key rotation, full-cluster cloning) to make analytics platforms safe and scalable. Based in Austin, he blends deep engineering with pragmatic architecture and a track record of turning complex data into usable business insights.
11 years of coding experience
23 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at New Mexico State University