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Leads client requirements, solution design, and delivery of Production Accounting solutions for oil and gas clients. Manages technical teams, complex projects, training, and resource development. Applies refinery and petrochemical expertise across production accounting, tank farm operations, plant configurations, blending, product distribution, integration, vendor selection, Fit-Gap analysis, and data visualization.

Support upstream revenue accounting applications through incident management, troubleshooting, root cause analysis, configuration, testing, enhancements, documentation, and user enablement. Collaborate with business stakeholders, IT teams, vendors, and service providers to resolve issues and deliver technology solutions. Participate in Agile release planning and continuous improvement, while automating repetitive processes and improving application reliability. The role values experience with Java, Oracle Exadata, AWS cloud services, upstream accounting applications, integrations, APIs, reporting tools, and security controls.

Develop and deploy Power BI reports, dashboards, data models, and DAX measures. Write and optimize SQL queries, manage ETL processes, improve report performance, validate data, and administer refreshes, scheduling, security, governance, and deployment. Collaborate with stakeholders to define KPIs and requirements while documenting data models and solutions.

Consults with midstream and downstream energy clients to improve operational excellence, safety, reliability, efficiency, margins, and digital transformation. Responsibilities include assessing workflows and KPIs, designing and implementing operations management solutions, integrating MES and plant systems, facilitating workshops, developing implementation roadmaps, supporting deployments, troubleshooting systems, and contributing to proposals and demonstrations.

Leads and mentors Power BI and reporting-tool developers and data analysts. Designs, develops, deploys, and optimizes advanced Power BI dashboards, reports, DAX measures, and data models for large datasets. Partners with stakeholders to define business questions and KPIs, understands end-to-end architecture, and ensures data security and governance compliance. Requires extensive Power BI experience, SQL, Power Query, relational databases, data warehousing, and ETL expertise, with strong communication and project management skills.

Leads enterprise data engineering strategy, designs cloud and hybrid data architectures, and develops scalable ETL/ELT pipelines. Drives platform modernization, governance, security, DevOps/DataOps, real-time streaming, and data availability for BI, AI, and analytics. Provides technical mentorship, translates business requirements into data solutions, and develops REST APIs, Azure App Services, and Azure PaaS implementations.

Leads Azure integration and PaaS development teams, overseeing requirements, architecture, code reviews, delivery timelines, mentoring, and technical problem-solving. Designs and develops REST APIs, Azure App Services, and PaaS solutions using C#, .NET Core, Entity Framework Core, and SQL Server. Ensures automated testing, troubleshooting, production support, stakeholder collaboration, and adherence to engineering best practices.