Building scalable data intensive microservices and tools to enable data science Demonstrated knowledge of end-to-end model deployment cycle streaming data processing frameworks like Kafka, Spark Structured Streaming, or Flink a diverse set of SQL and NoSQL databases like MongoDB, Cassandra, Redshift, Postgres, etc