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@neilsaunders
Senior Data Engineer specializing in scalable data solutions and analytics.
I am a Senior Data Engineer with extensive experience in designing and deploying scalable data pipelines, particularly within the financial and healthcare sectors. At Goldman Sachs, I significantly improved data processing efficiency by modernizing legacy ETL workflows and implementing robust data quality frameworks. My work has enabled near real-time analytics for investment risk metrics, enhancing compliance readiness and operational efficiency.
Previously, at Johnson & Johnson, I led the development of a centralized data warehouse for global supply chain operations, which facilitated unified analytics across various systems. My expertise in Azure technologies, including Data Factory and Synapse, has allowed me to automate data ingestion processes, ensuring data consistency and traceability for compliance reporting. I thrive in collaborative environments, working closely with quant teams and data scientists to deliver high-value datasets that drive strategic decision-making.
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Work history, roles, and key accomplishments
Goldman Sachs
May 2020 - Present (5 years 6 months)
Designed and deployed scalable data pipelines across financial reporting systems using Azure Data Factory and Databricks, significantly improving data processing efficiency and compliance readiness. Spearheaded the modernization of legacy ETL workflows by implementing PySpark-based transformations, reducing data latency and enabling near real-time analytics for investment risk metrics.
Johnson & Johnson
Oct 2016 - Apr 2020 (3 years 6 months)
Led the development of a centralized data warehouse for global supply chain operations, enabling unified analytics across manufacturing, logistics, and inventory systems using Azure Synapse and SQL. Engineered scalable ETL pipelines with Azure Data Factory and PySpark to automate ingestion from ERP and CRM platforms, reducing manual data processing and enhancing data consistency.
Degrees, certifications, and relevant coursework
Bachelor's Degree, Computer Science
2012 - 2016
Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained a strong foundation in software development and problem-solving.
Software and tools used professionally
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