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Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical view of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed.
A data engineer who specializes in finance not only has specific data engineering knowledge, but also a good understanding of financial domain-specific problems, approaches, data ecosystem, data providers, data formats, technological constraints, identifiers, entities, regulatory requirements, and governance.
This book offers a comprehensive, practical, domain-driven approach to financial data engineering with real use cases, market practices, and hands-on projects.
You'll learn: - The data engineering landscape in the financial sector - Specific problems encountered in financial data engineering - Structure, players, and particularities of the financial data domain - Approaches to designing financial data identification and entity systems - Financial data governance frameworks, concepts, and best practices - The financial data engineering lifecycle from ingestion to production - The varieties and main characteristics of financial data workflows - How to build financial data pipelines using open source and cloud technologies
Tamer Khraisha is a senior software and data developer and scientific author with 9 years of experience in industry and academia. Tamer's experience combines a solid background in financial markets with substantial expertise in software engineering. He did his undergraduate studies in finance and economics and earned a Ph.D. in Network Science. The research interests of Tamer are focused on financial markets, data, and technology. During his professional career, Tamer has worked with several FinTech startups where he designed and built data-driven cloud platforms for financial research, education, and asset management.