Data engineering is saturated with trending buzzwords and it is important you use a data professional who understands what differentiates specific solutions, technologies, and cloud providers in order to create a robust ecosystem that can support the entire spectrum of data projects and pipelines.

Typically all data engineering projects require the implementation of  ETL (extract, transform, load) pipelines, warehousing and storing, and building endpoints to serve cleaned and aggregated data.

Ocean Geoscience has experience working across multitude of providers (AWS, Google, Azure), micro-services (Apache Spark, Kafka, Solr), database technologies (Cassandra, SQL, No-SQL, DataLakes, ElasticSearch) and back-end languages (Python, Scala, Java, C#) to create the infrastructure to manage and support data of all sizes. Our platforms are ecosystem agnostic and are able to support ingestion and serving to web and mobile applications independent of the tech stack used to develop the app.