Data Architecture and Engineering Leadership

• Design and implement scalable, secure, and high-performance data architectures across on-premise Oracle environments and AWS cloud platforms.
• Oversee and optimise Oracle Data Warehouse systems, including ETL processes, OLAP cubes, and data transformation pipelines.
• Develop and implement modern AWS-based data pipelines using technologies such as S3, Redshift, Glue, Lambda, EMR, Kinesis, DynamoDB, and Athena.
• Establish best practices for data ingestion, transformation, storage, and retrieval across hybrid environments.

Data Pipeline and Platform Development

• Drive the adoption of modern data engineering technologies including Spark, Kafka, Airflow, and NoSQL solutions.
• Oversee CI/CD processes for data workflows, ensuring efficient, reliable, and automated deployments.
• Manage version control and DevOps practices using tools such as Git, Jenkin...