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Developed stored procedures, views, functions, and triggers automate business logic and improve operational efficiency
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Designed and optimized complex database structures (schemas, tables, indexes) across multiple RDBMS platforms, enhancing query performance by up to 35%
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Developed and executed complex SQL scripts for data migration and transformation between cloud and on-prem databases, ensuring data consistency and integrity across environments
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Implemented query tuning strategies and performance monitoring techniques to reduce execution time by 25% for heavy transactional workloads
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Architected and implemented logic to handle complex, nested JSON data, ensuring seamless ingestion into relational database tables while maintaining data structural integrity
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Engineered automated processing workflows to verify that data is correctly parsed, transformed, and inserted into production tables with zero data loss
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Performed deep-dive data analysis to identify and resolve processing anomalies, ensuring high-quality data sets for downstream applications