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01 — Overview
A robust database backend for a computerized federal election system, optimizing large-scale data storage, complex querying, and ensuring scalability for handling millions of records.
Deepened expertise in database design and optimization while highlighting the importance of system scalability and data integrity.
02 — Gallery
03 — Key Contributions
01
Designed a comprehensive database schema using UML-based ER diagrams for voter management, ballot issuance, and results aggregation.
02
Engineered efficient SQL queries for identifying non-voters and generating randomized candidate lists.
03
Implemented partitioning strategies for tables with exponential growth, ensuring seamless 10-year performance.
04
Developed stored procedures to automate primary vote counting and preference redistribution.