Delivering data warehouse and ETL solutions as part of an Agile team using advanced Machine Learning techniques to improve performance and processes.

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

Ensuring high-quality deliverables and implementing DevOps and security best practices in fast-paced environments.

Built and led a high-performing data team to deliver predictive modeling and Big Data analytics solutions on projects.

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

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

Creating and maintaining data pipelines for clients and organizing and manipulating large datasets to meet requirements.

Implementing process improvements, automating manual processes, optimizing data delivery, and improving infrastructure for greater scalability.

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

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

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

Expanded the bank's data infrastructure at scale and maintained 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 and transformed 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.