In my role as a Data Engineer at DataHub Ltd., I have used SQL extensively for designing data models that cater to specific business requirements. A significant project was the development of a data model for a financial client who needed reliable systems to manage their trading data.
The goal was to provide a data structure that could comprehensively manage market data, transactions, and client portfolios while remaining swift and robust. Using SQL, I designed a series of relational tables—covering trade data, client details, and market rates—and set relationships between them.
I utilized SQL indexes to optimize data retrieval speed and implemented stored procedures for routine operations, ensuring a high-performance database design. The final model not only improved data management but also speeded up the client's report generation system, enhancing their overall market response time.