Abstract:

As the Oil and Gas industry continues its digital growth and transformation, the ability to harness data effectively is becoming a defining factor in operational efficiency and strategic decision-making. This presentation explores how cloud-based technologies can modernize data warehousing, streamline data transformation, and enhance application integration. Leveraging Databricks for scalable data processing, Dagster for robust orchestration, and dbt for reliable data transformations, we demonstrate an integrated ecosystem that delivers both agility and governance. Attendees will gain insights into best practices for migrating from an on premises to cloud-native data platform, strategies for overcoming challenges such as siloed systems and legacy workflows, and practical examples of how these tools can unlock new value from subsurface, production, and operational data. By embracing these technologies, organizations can enable faster analytics and drive better business outcomes across the oil and gas industry.

Mindy Spellman:

With over 14 years of experience in the oil and gas industry, Mindy serves as the Director of Data and Analytics at Permian Resources, where she leads enterprise-wide data strategy, advanced analytics, and digital innovation efforts. Mindy began her career in reservoir engineering at Forest Oil before moving into a corporate analytics role.

Driven by a passion for data and analytics, Mindy went on to found Blue River Analytics, a firm specializing in data visualization and business intelligence solutions for the energy sector. As founder and CTO, she worked with numerous E&P companies to modernize their data workflows, transforming how teams interact with and leverage operational and subsurface data.

For the past seven years, Mindy has played a key leadership role at Centennial Resource Development, now Permian Resources, where she has helped shape the company’s digital transformation. Her work focuses on unifying data platforms, enhancing operational visibility, and deploying advanced analytics to drive efficiency across the company.

Matthew Mauch:

Matthew Mauch has seven years of experience in the oil and gas industry, working across technical, analytical, and data-focused roles. He began his career as a Reservoir Engineering Technician, supporting subsurface teams with data management and analysis. He later transitioned into a Business Analyst role, where he focused on bridging the gap between technical teams and business stakeholders by delivering data-driven insights. Currently, Matthew is a Data Engineer, specializing in cloud-based platforms and modern data technologies to build scalable, reliable, and efficient data pipelines at Permian Resources. He has helped lead the development and deployment of data pipelines during their migration from on premises SQL Server to Azure Databricks.

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