Jacob Trombley
Data Engineer & Product Owner @Nestlé
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WORK HISTORY
Data Engineer & Product Owner @Nestlé
North York, ON, CA
Lead cross-functional data strategy initiatives, aligning organizational goals through actionable analytics, enabling data-driven decisions for key stakeholders across marketing, sales, and operations• Spearheaded the migration of data infrastructure from Azure Synapse to Snowflake, while deploying dbt across the Canadian market, resulting in cost reduction while enhancing data freshness, accuracy, and reporting• Designed and maintained scalable ETL pipelines to integrate data from disparate sources, improving data consistency and accessibility, leading to a reduction in processing time for core business reports• Developed and deployed dynamic dashboards and reports, empowering business leaders with real-time insights, contributing to a significant improvement in data-driven decision-making efficiency• Established a standardized process for defining and tracking key business metrics, providing visibility and actionable insights across multiple departments, enhancing cross-functional alignment• Collaborated closely with senior stakeholders to identify key business needs and provided tailored data-driven solutions, successfully solving challenges in areas such as marketing optimization and inventory forecasting
EDUCATION
Western University
Bachelor of Science - BSc
Ivey Business School at Western University
Master the Entrepreneur Skillset
University of Toronto
Master of Engineering - MEng
ABOUT JACOB TROMBLEY
I’m a results-driven data professional with expertise in data engineering, analytics engineering, and data science. I specialize in building scalable data pipelines, managing ETL workflows, and integrating diverse datasets to deliver actionable insights that drive business outcomes.Proficient in SQL, Python, dbt, and Snowflake, I’ve helped organizations modernize data infrastructure, operationalize analytics, and enable self-serve BI through tools like Power BI and Streamlit. My work spans cloud platforms (Azure, AWS, GCP), big data frameworks, and ML solutions to support everything from forecasting to optimization.I am deeply committed to continuous learning and staying at the forefront of data science, engineering, and analytics advancements. This mindset fuels my drive to enhance my skills and contribute to the transformative potential of data in reshaping industries.Core SkillsProgramming & Tools: Python, SQL, Spark, Power BI, Git, Plotly, Streamlit, dbt, Snowflake, ADF, APIsData Engineering: ETL pipelines, orchestration, cloud architecture (Azure, AWS, GCP)Analytics & ML: Data modeling, predictive analytics, machine learning, visualizationSoft Skills: Stakeholder engagement, storytelling with data, metric design, collaborationCertifications: dbt (2024), Machine Learning – Stanford (2023), Databricks Lakehouse (2023), Udacity Analytics (2023)Let’s connect — I’m always open to exploring how data can transform decision-making and drive growth.
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