Data Warehousing

Data Integration and ETL

Extract, transform, and load data from various sources into a centralized repository, supporting analytics and decision-making. Leverage tools like Informatica, Talend, and Oracle Data Integrator for robust ETL processes, ensuring data quality and consistency. Skills in SQL, data modeling, and data pipeline optimization are necessary. SAP Data Services can be used for integrating, transforming, and improving enterprise data.

Data Warehouse Design

Design and implement data warehouse solutions that support business intelligence, reporting, and data analysis. Utilize Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse Analytics for scalable and efficient data warehousing solutions. Knowledge in database design, OLAP, and query optimization is important. Oracle Autonomous Data Warehouse offers advanced features for automating database tuning and scaling.

Data Governance and Quality

Ensure data integrity, quality, and compliance with data governance policies and regulations. Implement data governance frameworks using Collibra, Alation, and SAP Master Data Governance to ensure data integrity and compliance. Skills in data stewardship, metadata management, and regulatory compliance (GDPR, CCPA) are essential.