Louise C. Email & Phone Number

Greater Toronto Area, Canada

Data Lake Development: Spearheaded the creation of a comprehensive data lake, laying the foundation for an integrated data repository that centralizes disparate data sources. This initiative has been instrumental in democratizing data access across the organization, fostering a data-driven culture.Data Architecture Design: Designed and implemented a robust data architecture that supports scalable ingestion, storage, and processing of large datasets. My approach emphasizes modularity, scalability, and security, ensuring that the data infrastructure can evolve with the organization's needs.

- Design scalable and reliable data pipelines to consume, integrate and analyze large volumes of complex data from different sources to support the growing needs of the company business- Build a data access layer to provide data services to internal and external stakeholders- Build data expertise and own data quality for areas of ownership- Experiment with different tools and technology

Hong Kong Sar

Developing event-driven streaming and batch data pipelines in OLAP and Data Warehouse environmentsMaintaining the big data infrastructure on AWS cloud Cloud infrastructure automation and management (e.g. Docker, Kubernetes, Circle CI, Argo CD)

Hong Kong

• Establish a data lake on AWS for big data real-time streaming using Kafka, Spark• Design, develop, maintain cross-platform ETL pipelines and Hive/Spark data processing workflows• Develop data analytics based RESTful APIs • Experience in AWS cloud services: EC2,EKS, RDS, Redshift, Keyspaces, DynamoDB • Work with data and analytics experts to strive for greater functionality in data systems

Hong Kong

• Developing and maintaining ETL integration processes with multiple banks• Partnering with data providers to configure business logic for new financial data integration

Msc In Geographic Information Science (Gis)

Bachelor Of Social Science, Geography And Cartography