George Kwakye Addo
Data Engineer @Aspirion
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WORK HISTORY
Data Engineer @Aspirion
Columbus, GA, US
Engineered and maintained robust data pipelines using Azure Databricks and Synapse Pipelines, enabling efficient ingestion and processing of raw data for healthcare and public sector projects.Designed scalable data lake architectures with Azure Data Lake Storage and Synapse Analytics to support organized storage and fast access to raw, curated, and aggregated datasets.Improved data reliability by developing validation frameworks in Azure Data Factory and Synapse Pipelines, enhancing accuracy and minimizing processing errors.Built and optimized real-time data streaming solutions with Azure Event Hubs, Stream Analytics, and Azure Functions to deliver continuous, event-driven insights.Automated and orchestrated complex ETL workflows using Azure Data Factory and Functions, reducing manual effort and ensuring timely, scalable data delivery.Collaborated with data scientists and analysts to define models and transformations within Synapse Analytics, advancing predictive capabilities and informed decision-making.Implemented cloud-native architectures and CI/CD pipelines using Azure DevOps, Azure Functions, and supporting services, improving platform efficiency and deployment agility.
EDUCATION
Kwame Nkrumah University of Science and Technology, Kumasi
Bachelor’s Degree, Agriculture, Agriculture Operations, and Related Sciences
Boston University
Master's degree, Computer Software Engineering
ABOUT GEORGE KWAKYE ADDO
Experienced Software and Data Engineer with over 8 years of delivering robust, end-to-end solutions that bridge scalable data architecture with modern application development. Proficient in building full-stack systems, distributed data pipelines, and backend services using Python, Node.js, TypeScript, and Go, with a strong focus on performance, scalability, and maintainability. Skilled in designing microservices-based architectures, implementing CI/CD pipelines, and deploying cloud-native applications on Azure and AWS. Hands-on expertise with Databricks, Azure Synapse, Data Factory, and Azure Functions to build real-time and batch data processing solutions that power analytics, reporting, and machine learning. Adept at applying software engineering best practices clean architecture, automated testing, secure coding, and API design across data and application domains. With a strong foundation in both software and data engineering, I specialize in creating scalable, high-performance systems that support data-driven decision-making and business innovation.
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