Full stack data services:
- Data Migration
- Integration
- Data Quality & Cleansing
- Real-time Streaming
- Big & Distributed Data
- Data Modelling
- Data Warehousing
Tools typically used:
- AWS Data Engineering Stack
- Microsoft SQL Server & Data Services: SSIS, SSAS, SSRS
- Microsoft Azure & Fabric
- Apache Spark, Hadoop, & Unix Distirbuted Architecture
- PostgreSQL & Other Relational Databases
- SnowFlake & RedShift
- Clickhouse & others
Data Engineering Example
A data exploration of stock correlations using PostgreSQL and Neo4j graph database