• Optimized search efficiency and reduced server load by transitioning from PostgreSQL search to Typesense search engine, cutting search load times by 57%. • Increased the speed of data retrieval by 23% by implementing in-memory caching strategy using Redis, resulting in faster access to historical data. • Designed a service for calculating product carbon footprints for manufacturing companies, leveraging machine data from data pipelines.

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• Reduced data aggregation batch processing times by 40% through the implementation of parallel processing and job scheduling using Celery and RabbitMQ for fetching historical price data from multiple cryptocurrency exchanges. • Decreased bug resolution time by 35% by implementing a comprehensive logging system, enabling faster identi- fication and troubleshooting of issues.

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• Improved GIS data processing speed by optimizing SQL queries and indexing in PostGIS, resulting in a 20% reduction in query execution times for spatial searches.

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• Developed reusable JavaScript components for a low-code mobile application builder platform, enhancing the user experience and reducing development time.

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• Implemented a chatbot integration for the internal messaging platform, reducing the resolution time for critical issues and customer feedback reported to the sales team by 30%, significantly enhancing customer satisfaction and team efficiency.

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