Data Engineering
Engineering data pipelines and quality
System design and implementation that transform and transport data into a format wherein, by the time it reaches the end users, it is in a highly usable state. Data pipelines must take data from many disparate sources and collect them into a single warehouse that represents the acts as a single source of truth.
Data Systems Design
Designing the right infrastructure to fit the volume and processing needs of a certain ecosystem. Creating data capture and storing processes
Data Quality Management
Segregating noise away from useful data – Keeping the quality, consistency and reliability of data high for the end user at all times and managing the metadata
Data Warehousing
Making data easily findable and accessible for all users. A data warehouse brings disparate data sources together to create a single source of truth.
