- Design, deploy, and scale robust data pipelines between Datomic, Kafka, and BigQuery.
- Build fault-tolerant ETL systems to ingest and normalize messy data from third-party APIs.
- Evolve event-driven architecture and optimize streaming performance using Kafka/BEAM.
- Act as a force multiplier by setting backend architecture standards in Clojure.
- Mentor engineering team members and lead high-stakes technical decision-making.
- Partner with Data Science, Product, and Business Development to align infrastructure with business needs.
ETLJVMKafka+3 more