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Senior Manager, Data Engineering and Innovation @RBC
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WORK HISTORY
Senior Manager, Data Engineering and Innovation @RBC
Toronto, ON, CA
As a Senior Manager, I lead a talented team driving impactful projects that integrate engineering and applied AI. I successfully migrated Datameer-based code to Spark, enhancing processing times and scalability for productivity data across personal and commercial segments. I implemented governance processes using in-house tools (Python based), redesigned manual mapping tables into a standardized snowflake schema, and launched a proof of concept for Kafka to enable streaming data pipelines.• In applied AI, I focus on forecasting metrics for resource planning using various models, particularly time series analysis, to support informed decision-making.• Mentoring junior engineers to become subject matter experts is a rewarding part of my daily life, enhancing team effectiveness and leading to recognition for their achievements. By cultivating strong relationships with key partners, I secure ongoing collaboration and sponsorship for critical projects, advancing our strategic goals. My team\'s efforts have been recognized with two team awards, reflecting our commitment to excellence and innovation.
EDUCATION
Centennial College
Post-graduate Certificate
Banking University of Ho Chi Minh City
Bachelor's degree
BrainStation
Diploma
ABOUT TERESA NGUYEN
Results-driven data professional with 10 years of experience in data analytics, engineering, and applied AI- Demonstrates strong leadership and project management skills, excelling in both executing and designing innovative solutions while coaching and managing teams to achieve their best- Expertise in both on-premises and cloud computing environments, with a focus on leveraging technology for scalable and innovative solutions- A continuous learner committed to staying at the forefront of industry advancements while fostering collaboration and delivering impactful results. Areas of Expertise: • Big Data & ETL: Spark, Python, Kafka for batch and streaming data processing. • Data Warehousing: Oracle, SQL, Teradata, Hive, HDFS, Azure. • Data Governance: Airflow and custom tools for data integrity and compliance. • Applied AI & Machine Learning: Proficient in various modeling techniques, including time series analysis (SARIMA), neural networks (LSTM), and clustering methods for predictive analytics and data-driven insights.
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