Data Warehousing
Data works when it answers business questions!
Offers
- Designing and developing data models, ETL/ELT pipelines, data marts, and data warehouses that translate raw data into user-friendly dashboards, reports, and machine models.
- Integrating Agile Data Warehousing Methodology (ADW) into data warehouse projects by developing data warehouses in small, manageable iterations (while versioning) by focusing on key entities and attributes to produce a minimum viable product.
- Ensuring data quality and security in line with data governance best practices.
- Monitoring and optimizing data flow and data quality to enhance overall efficiency.
- Performance tuning for database queries, ensuring resources are fully optimized while reducing cost.
Tools
- SnowFlake, Redshift
- Fivetran, Stitch
- DBT
- Talend
- Pentaho