Assess the effectiveness and accuracy of new incident data sources and data gathering techniques for midstream facility and associated pipeline system incidences
Develop a process of implementation of facility incident data for risk evaluation of facilities of Enterprise Products
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity from OSI PI data
Design data solutions to include reports, and dashboards for effective measure the progress of Enterprise Product FIMP
Applicable local, state, and Federal regulations. Application environmental and safety regulations
Leveraged extensive OSISoft PI Systems and PI WebAPI experience to maintain applications in the portfolio, triaging issues, and collaborating with cross-functional teams to resolve problems efficiently.
Assisted clients in effectively utilizing PI WebAPI, particularly in the areas of analytics and security, by providing comprehensive support and guidance.
Demonstrated excellent problem-solving skills while communicating with different teams within the organization, ensuring seamless collaboration and streamlined workflows.
Developed robust software solutions using programming languages such as .Net and C#, adhering to best practices, object-oriented programming principles, and design patterns.
Led a team of [Number] developers, overseeing project timelines, delegating tasks, and providing guidance to ensure successful project completion.
Conducted systems analysis to evaluate complex business requirements and designed appropriate technical solutions to meet project objectives.
Demonstrated expertise in Windows File System and NAS, effectively managing file storage systems to ensure optimized performance and data integrity.
Proficiently administered SQL DML and MS SQL Server, ensuring efficient data management and database administration.
Utilized Python for various project requirements, leveraging its flexibility and robustness to deliver optimal results.
Senior Pipeline Integrity Engineer
Enterprise Products, EPCO
Houston, TEXAS
01.2011 - 12.2016
As a Senior Pipeline Integrity / Project manager, I provided preliminary engineering and technical support to manage the integrity of approximately 50,000 miles. In the capacity of senior pipeline / Procurement manager, my responsibilities are management of 49CFR 195 & 192 and many more as follow:
Evaluates and prepare reports and forecasts on pipeline integrity and corrosion control systems performance and initiate corrective action to resolve undesirable variances in actual or anticipated performance.
Analyzes the effectiveness of pipeline integrity and corrosion control programs and recommends changes in policies and procedures to meet the goals and objectives of the company.
Develops formal mitigation plans to minimize risk and prepare and present mitigation recommendations.
Maintains formal records of risk abatement recommendations and actions to eliminate or minimize risk-related problems.
Represents the company in industry and regulatory meetings and audits dealing with operational integrity, corrosion control, and risk-related issues.
Implement the written Integrity Management Programs and the standards and procedures to support the IMP for all pipeline assets.
Identify additional preventive and mitigative measures, determining the re-assessment interval and reassessment methods through participation in Informational Analysis processes.
Provide Engineering support for Pipeline Integrity Projects, including welding calculations, material selections, determination of required hydrostatic test pressures, MOP/MAOP calculations, and calculation of set points for pumps, compressors, and other pressure control devices to ensure MOP/MAOP is not exceeded, evaluation of defects and recommend appropriate repairs.
Evaluate Integrity Assessment Results to determine the need for temporary pressure reductions and repairs and repair methods.
Initiate and track temporary pressure reductions associated with Pipeline Integrity Activities.
Provide input to new construction pipelines and due diligence to support Pipeline Integrity efforts.
Incorporate newly operated assets into the IMP.
Stay current with pipeline regulations, industry standards, integrity assessment methods, repair methods, etc.
Evaluating and assisting in developing pipeline integrity programs to maintain and ensure pipeline reliability and compliance with federal and state regulations, applying cost-effective solutions and new/improved technologies.
Ensure effective Preventative Maintenance (PM) programs are developed and standardized when possible. Periodically audit the effectiveness of the PM program and the PMs that are being performed by field personnel.
Application of steady-state and transient hydraulic modeling on pipeline systems.
Used OSI PI data historian and SCADA system to pull operations data for engineering analysis
Designed and implemented scalable data pipelines using Apache Spark, handling large volumes of structured and unstructured data for real-time and batch processing.
Developed and maintained ETL processes to extract data from various sources, transform it according to business rules, and load it into a centralized data warehouse.
Worked closely with cross-functional teams to gather requirements, define data models, and ensure data quality and integrity throughout the data lifecycle.
Optimized data processing workflows, improving performance and reducing processing time by implementing parallel processing and efficient data partitioning techniques.
Implemented data governance practices, including data profiling, cleansing, and lineage tracking, to ensure data accuracy and compliance.
Collaborated with data scientists and analysts to provide them with clean, reliable, and well-organized data for advanced analytics and reporting.
Conducted data analysis and troubleshooting to identify and resolve data quality issues, performance bottlenecks, and system failures.
Mentored junior data engineers, providing guidance and support in implementing best practices and ensuring adherence to coding standards.
Pipeline Integrity Engineer
CONOCOPIPELINE COMPANY
Houston, TEXAS
09.2007 - 01.2011
Review of facility equipment drawings such as P& ID with the current status
Write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements
Ensure that field records operational meet operators’ procedures & standards
Perform tuning and productionizing Machine Learning models
Terminal piping inspections using API 2611.
Lead the definition, build, evaluation, and operationalization of machine learning solutions
Develop metrics for the FIMP using power BI and Spotfire
Lead the efforts of Facility Integrity Management Program information analysis supports.
Develop an electronic IMP form and list using SharePoint.
Automation of IMP PROCESSES using Microsoft Visio, SharePoint Designer, and InfoPath.
Developed metrics for evaluation of FIMP performance & strategic steering of the program to meet current regulatory requirements.
Selection, identification, and determination of pipeline, in-plant piping, and facility under 192 and 195 rules.
Developed an electronic process of data gathering for FIMP information analysis.
Use ArcMap and ArcGIS as tools for the facility and pipeline locations.
Use is Microsoft SQL query to retrieve data from the PODS database.
Using Microsoft Visio in Integration of Microsoft InfoPath with SharePoint Designer workflow for FIMP data collection and development of management dashboard for performance evaluation.
Application of steady-state and transient hydraulic modeling on pipeline systems.
Assisted in designing and developing a data warehouse, ensuring data accuracy and consistency.
Extracted and transformed data from various sources using SQL and ETL processes.
Created and maintained data models to support reporting and analysis requirements.
Used OSI PI data historian and SCADA system to pull operations data for engineering analysis
Generated ad-hoc reports and performed data analysis to support business initiatives.
Collaborated with IT teams to resolve data-related issues and optimize system performance.
Assisted in training users on data tools and best practices for data analysis.
Education
Certificate - Machine Learning
Rice University
01.2023
Master - Information Technology, Concentration in Database Technology
University of Maryland Global Campus
01.2022
MBA - Production Management and Operations Systems
University of Lagos
01.2001
M.Sc. - Mech. Engineering
State Academy of Oil and Gas
Moscow, Russia
01.1995
Skills
Microsoft Office (Word, Excel, Access, Outlook, PowerPoint, Project Management), Spotfire User, SharePoint Designer, MS Visio, MS InfoPath, SharePoint user, OSI PI soft, SCADA