Data Architecture & Design: Design and optimize data models, schemas, and pipelines. Develop database solutions, install and configure information systems, and analyze structural requirements for new software[1].
Data Warehousing & Cloud Technologies: Support data migration from legacy systems to modern platforms. Work with ETL tools and cloud services (AWS) to ensure efficient data processing.
Databases: SQL, Oracle , Oracle Fusion etc
Collaboration & Communication: Act as a liaison between business users, data engineers, and IT teams to ensure alignment on project goals. Document processes, workflows, and best practices for data implementation.
Data Governance & Performance Optimization: Implement best practices for data governance, security, and compliance. Optimize query performance, cost, and storage