Data Engineering

Data Engineering is a very important part before we start with data analysis and data science, and building good visualizations. Our engineers thrive with large quantities of data and are experts in the technical execution necessary to integrate diversified data. The Data Engineers make sure that data originating from various sources within your business are screened, reliable and available. It is an essential part of the process to get the analysts operational and apply their expertise, which is to use meaningful data for the production of the correct insights.

i-spark advises and/or supports the implementation of the correct choice of data platforms, aligned with the goals of your organization. i-spark uses to that effect leading ETL-tools, reliable data warehouses and affordable cloud solutions.

Technology Stack
Cloud platformen: Amazon AWS, Microsoft Azure, Google Cloud Platform

Data Ingestion: AWS Glue, Dataddo, Stitch, Matillion, Fivetran

Data Processing: SQL, Python, Spark, R

Data Storage: AWS Redshift, GCP BigQuery, SQL Server, PostgreSQL, DynamoDB, Snowflake