Delivers data warehouse and ETL solutions as part of an agile team using advanced machine learning techniques to improve performance and processes.

Helps build and improve infrastructure, application and performance development and ensures tight security including data encryption, security groups, and environment scanning.

Ensures high-quality deliverables and implements DevOps and security best practices in fast-paced environments.

Built and led in2's high-performing data team to deliver predictive modelling and big data analytics solutions on projects.

Drove process to design, build, and launch new dashboards, data models and data pipelines into production for clients.

Provided technical leadership in data engineering practices on projects - delivering projects with a degree of quality.

Create and maintain data pipelines for clients - organizing and manipulating large datasets to meet requirements.

Implement process improvements, automate manual processes, optimize data delivery and improve infrastructure for greater scalability.

Liaise with different stakeholders to ensure greater functionality in data systems - resolving all data-related technical issues.

Built and managed the infrastructure required for credit risk modelling from different sources within the bank.

Wrote maintainable, performant code and maintained data pipelines for different applications on the project.

Expanded the bank's data infrastructure at scale - maintaining the data warehouse with high-quality data.

Developed statistical modules and trending rules to monitor and analyze bank transactions and processes.

Developed, implemented and maintained different statistical tools used in supporting method lifecycle activities.

Implemented statistical models and data analysis tools to improve the quality and efficiency of banking processes.

Evaluated complex datasets for new opportunities and complex issues - transforming data for specific functions.

Conducted exploratory data analysis processes and created data visualizations using modern presentation guides.

Escalated, prioritized, and resolved data quality issues on projects.