Peter Uwabor Email & Phone Number

Canada

Calgary, Alberta, Canada

Canadian Natural Resources Limited, or CNRL or Canadian Natural is a senior Canadian oil and natural gas company that operates primarily in the Western Canadian provinces of British Columbia, Alberta. In my capacity as a Data Engineer, my primary focus revolved around ensuring the smooth operation and optimization of production environments. Outside of my daily objectives, I spearheaded the end-to-end process of designing, developing, and maintaining ETL pipelines, leveraging the power of Azure Data Factory within the Cloud ecosystem. This involved meticulously crafting workflows to facilitate the seamless ingestion of diverse datasets from Azure storage into Azure SQL databases.A key aspect of my role was the relentless pursuit of performance optimization. I meticulously monitored and analyzed pipeline performance metrics using Azure Monitor log data, allowing for real-time insights into data throughput, latency, and resource utilization. Through this proactive approach, I identified bottlenecks and inefficiencies, implementing targeted optimizations to enhance overall data processing efficiency and minimize latency.Accomplishments Include:- Maintained and improved a progressive cavity pump machine learning pilot project, integrating Databricks, Azure Data Factory, and Tableau to enhance production efficiency; adeptly troubleshooted and resolved data pipeline failures and data quality issues.- Led a cross-functional team including three (3) interns in developing forecasts, budgeting, and prediction models for the production group, utilizing Knime, Tableau, and Power BI; created reports driving stakeholder decisions and KPI metrics crucial for production.

Fort Mcmurray, Alberta, Canada

As a consultant specializing in equipment reliability, I led transformative initiatives harnessing the power of Artificial Intelligence (AI) to bolster process reliability and operational efficiency. Central to my role was the implementation of AI-driven solutions aimed at optimizing the performance and reliability of drill stem machinery.One of my key contributions involved conducting comprehensive Root Cause Analyses (RCAs) on machinery, employing AI methodologies and adhering to OREDA standards. By leveraging advanced analytical techniques and machine learning algorithms, I delved deep into the intricacies of machinery operation, identifying underlying factors contributing to potential failures. This proactive approach not only enhanced machinery failure prediction accuracy but also empowered stakeholders with actionable insights to preemptively address maintenance needs.In addition, I spearheaded the development of interactive Tableau dashboards tailored for visualizing equipment performance trends. These intuitive dashboards served as powerful tools for monitoring key performance indicators, identifying patterns, and deriving actionable insights. By providing stakeholders with real-time visibility into equipment performance metrics, I facilitated data-driven decision-making and proactive maintenance planning.Accomplishments:- Created and optimized ETL workflows to efficiently extract and load data from 10+ sources into Data lakes, ensuring seamless data integration; collaborated with data scientists and analysts, utilizing Databricks and Azure Data Factory to meet data requirements.- Reported insights to leadership, providing decision-making insights that led to a 20% increase in operational efficiency; developed and sustained multiple Tableau and Power BI reports, gathering inputs from various databases to generate quarterly forecast reports.

Calgary, Canada Area

When I initially joined the enterprise, I was brought on to I spearhead initiatives at the intersection of technology and business strategy, leveraging cutting-edge digital solutions to address complex challenges and drive operational excellence. Ultimately, a role that allowed to serve as a trusted business partner who solved complex business challenges through the usage of data. My role encompassed a diverse range of responsibilities, each underscored by a commitment to innovation and results-driven decision-making. One of my primary duties involved evaluating emerging digital technologies to identify opportunities for enhancing business processes and unlocking new value streams. Through meticulous research and analysis, I assessed the feasibility and potential impact of various technological solutions, laying the groundwork for strategic investments and transformative initiatives.A highlight of my tenure was the application of machine learning techniques to optimize oil recovery prediction and parameter optimization in the Montney formation. By harnessing the power of data analytics and predictive modeling, I developed sophisticated algorithms capable of forecasting reservoir behavior and optimizing extraction processes. This not only enhanced operational efficiency but also contributed to significant cost savings and increased yield.Accomplishments Include:- Implemented the usage of advanced analytics techniques to develop accurate predictive models for glycol cooler outlet temperature, improving process efficiency and ensuring optimal operational conditions in industrial settings by +25% within <6 months.- Applied machine learning algorithms to predict oil recovery and optimize parameters within the Montney formation, a multi-million ($3M+) process designed to strengthen operational efficiency and maximizing resource utilization for enhanced business productivity.

Data Science Certificate, Data Science

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