Principal Data Engineer
Real-time market data at scale
S&P Global Platts / UBS
Market data does not wait for a nightly load. AWS data-lake ingestion, real-time and batch, with Kafka Streams, Flink and Spark Streaming landing in Cassandra, Neo4j and MongoDB, at S&P Global Platts, UBS and Nuclear Risk Insurers.
- Real-time and batch
- AWS data lake
- Streaming
- Kafka / Flink / Spark
- Stores
- Cassandra / Neo4j / MongoDB
What was built
AWS data lake with real-time and batch ingestion. Kafka Streams, Flink and Spark Streaming into Cassandra, Neo4j and MongoDB. The same pattern across S&P Global Platts, UBS and Nuclear Risk Insurers.
AWS · Kafka Streams · Flink · Spark Streaming · Cassandra · Neo4j · MongoDB
Bring one workflow. We will tell you how we would approach it.
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