Developed a scalable end-to-end event processing platform for the world-federation-of-advertisers/cross-media-measurement repository, focusing on efficient data ingestion, batch processing, and integration with downstream analytics. Leveraged Java and Kotlin to implement core data models, parallel pipelines, and a parallel in-memory VidIndexMap using FastUtil for multi-threaded processing of large datasets. Enhanced performance and scalability through optimized data structures and parallel processing, while automating cloud infrastructure with Terraform and GCP services. Emphasized maintainability by refactoring existing logic for compatibility and resilience, and prioritized secure, automated cloud networking. The work laid a robust foundation for high-throughput analytics and streamlined measurement workflows.
October 2025: Focused on performance and scalability in cross-media-measurement. Delivered a parallel in-memory VidIndexMap with FastUtil, enabling multi-threaded data processing for large datasets. Refactored VidIndexMap to support parallel paths while keeping compatibility. No major bugs fixed this month; emphasis on resilience and maintainability. Business impact: faster processing, improved scalability for measurement workloads and smoother analytics integration. Technologies: Java, multi-threading, FastUtil, dependency management, code refactor.
October 2025: Focused on performance and scalability in cross-media-measurement. Delivered a parallel in-memory VidIndexMap with FastUtil, enabling multi-threaded data processing for large datasets. Refactored VidIndexMap to support parallel paths while keeping compatibility. No major bugs fixed this month; emphasis on resilience and maintainability. Business impact: faster processing, improved scalability for measurement workloads and smoother analytics integration. Technologies: Java, multi-threading, FastUtil, dependency management, code refactor.
September 2025 focused on delivering a robust, scalable end-to-end event processing platform in the cross-media measurement repo, with emphasis on core data models, batch processing, scalable pipelines, performance optimizations, and cloud automation. The work enabled more efficient ingestion, processing, and integration with downstream analytics, while laying a foundation for security and automation in cloud infrastructure.
September 2025 focused on delivering a robust, scalable end-to-end event processing platform in the cross-media measurement repo, with emphasis on core data models, batch processing, scalable pipelines, performance optimizations, and cloud automation. The work enabled more efficient ingestion, processing, and integration with downstream analytics, while laying a foundation for security and automation in cloud infrastructure.
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