Nada Al‑Muteri

Architected and managed a multi-cluster Denodo 8.0/9.0 environment, serving as the core data virtualization layer processing over 50M+ daily transactional API requests.

Spearheaded the integration of legacy core banking databases, cloud data lakes (Snowflake, AWS S3), and real-time Kafka streams into a unified logical data layer, reducing time-to-insight for financial analysts by 60%.

Designed and enforced advanced data governance models within Denodo, utilizing row-level security, dynamic data masking, and dynamic schema optimizations to achieve strict compliance with PCI-DSS and GDPR regulations.

Optimized complex federated queries across distributed environments, leveraging Denodo's Cost-Based Optimizer (CBO) and MPP acceleration via Presto, which reduced reporting latency by 45%.

Automated Denodo deployment pipelines, cluster provisioning, and metadata migrations using Solution Manager, Terraform, and Jenkins, increasing infrastructure deployment speed by 40%.

Maintained, monitored, and scaled a large-scale enterprise Hadoop/Spark cluster alongside a dedicated Denodo infrastructure, ensuring 99.99% uptime for critical fraud detection models.

Configured and tuned Denodo VDP memory management, cache administration (using PostgreSQL as a cache database), and connection pooling to seamlessly support concurrent trading applications.

Implemented Kerberos authentication and SSL/TLS encryption across all Denodo execution nodes and underlying big data sources to secure high-value financial assets.

Partnered with DevOps teams to containerize Denodo components using Docker and Kubernetes, paving the way for a cloud-native hybrid data infrastructure.

Resolved critical performance bottlenecks in data pipelines and analytical workflows by configuring Denodo smart caching policies and optimizing physical database indices.