• Over 7 years of experience in designing, building, and optimizing data pipelines and architectures across various industries. • Proficient in technologies including Apache Spark, Hadoop, SQL, and Python to transform complex data sets into actionable insights. • Skilled in data modeling, ETL processes, and data warehousing, ensuring efficient data management and accessibility. • Experienced in cloud platforms such as AWS and Azure, leveraging cloud services for scalable data solutions. • Adept at collaborating with cross-functional teams, including data scientists and analysts, to enhance data accessibility and quality, driving informed decision-making. • Strong understanding of data governance, security, and compliance, ensuring adherence to industry standards. • Committed to continuous improvement and innovative solutions in data engineering, optimizing processes to support business objectives. • Effective communicator, capable of conveying complex technical concepts to non-technical stakeholders.

Radiat Ibrahim

• Over 7 years of experience in designing, building, and optimizing data pipelines and architectures across various industries. • Proficient in technologies including Apache Spark, Hadoop, SQL, and Python to transform complex data sets into actionable insights. • Skilled in data modeling, ETL processes, and data warehousing, ensuring efficient data management and accessibility. • Experienced in cloud platforms such as AWS and Azure, leveraging cloud services for scalable data solutions. • Adept at collaborating with cross-functional teams, including data scientists and analysts, to enhance data accessibility and quality, driving informed decision-making. • Strong understanding of data governance, security, and compliance, ensuring adherence to industry standards. • Committed to continuous improvement and innovative solutions in data engineering, optimizing processes to support business objectives. • Effective communicator, capable of conveying complex technical concepts to non-technical stakeholders.

Available to hire

• Over 7 years of experience in designing, building, and optimizing data pipelines and architectures across various industries.
• Proficient in technologies including Apache Spark, Hadoop, SQL, and Python to transform complex data sets into actionable insights.
• Skilled in data modeling, ETL processes, and data warehousing, ensuring efficient data management and accessibility.
• Experienced in cloud platforms such as AWS and Azure, leveraging cloud services for scalable data solutions.
• Adept at collaborating with cross-functional teams, including data scientists and analysts, to enhance data accessibility and quality, driving informed decision-making.
• Strong understanding of data governance, security, and compliance, ensuring adherence to industry standards.
• Committed to continuous improvement and innovative solutions in data engineering, optimizing processes to support business objectives.
• Effective communicator, capable of conveying complex technical concepts to non-technical stakeholders.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Data Engineer at Molina Healthcare
March 1, 2021 - November 3, 2025
Designed and implemented robust data pipelines to streamline data ingestion from various sources, enhancing data availability for analysis. Collaborated with business analysts and stakeholders to gather data requirements, ensuring data solutions align with organizational goals. Leveraged cloud platforms like AWS and Azure to deploy and manage data solutions, ensuring scalability and security of data assets. Conducted data quality assessments and implemented monitoring tools to proactively identify and resolve data discrepancies, ensuring data integrity across systems. Developed and maintained comprehensive documentation for data processes and workflows, facilitating knowledge transfer and team collaboration. Engaged in continuous learning and application of emerging technologies in data engineering. Supported data governance initiatives by implementing best practices in data management and compliance. Developed and optimized data pipelines processing over 10 million records daily to en
Data Engineer at Intel
February 1, 2021 - February 1, 2021
Developed scalable data pipelines using Apache Spark, enabling real-time data processing and analytics to support business decisions. Automated complex data transformation tasks with Python, significantly optimizing workflows and minimizing manual errors. Designed and maintained comprehensive data models to ensure data integrity, enhance accessibility, and streamline analytics across multiple teams. Conducted thorough data quality assessments to identify and resolve discrepancies, ensuring high accuracy for analytical reporting. Leveraged cloud services, including AWS and Azure, to optimize data storage solutions and enhance processing capabilities, driving efficiency. Implemented workflow automation through Apache Airflow, streamlining data ingestion and transformation processes for improved operational performance. Created detailed documentation of data architecture and workflows to promote clarity, facilitate onboarding, and support team collaboration. Collaborated with cross-functi

Education

MBA in Project Management at The University of Louisiana at Lafayette
January 11, 2030 - November 3, 2025
B.Sc. in Petroleum Engineering at The University of Louisiana at Lafayette
January 11, 2030 - November 3, 2025
A.A.S. in Oil and Gas Production Technology at Bossier Parish Community College
January 11, 2030 - November 3, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet