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DeepWaveIntel began with a bold mission: to create high-quality datasets for extreme weather analysis and antimicrobial resistance (AMR) research. As we navigated the complexities of integrating diverse data sources—from flight paths and shipping lanes to low-orbit satellites and environmental sensors—we quickly encountered the real-world challenges of cloud data architecture. From orchestrating multi-source pipelines to deduplication, time-series processing, and AI-driven insights, we experienced firsthand the intricate balancing act of scalability, governance, and cost efficiency in cloud environments. Leveraging free-tier services across Azure and AWS, we pushed the limits of what was possible while keeping costs in check. This journey led to a deeper realization: the need for optimized cloud data architectures that not only reduce expenses but also enhance performance, security, and governance. Today, DeepWaveIntel builds solutions that empower organizations to make smarter, cost-effective cloud decisions—from intelligent data integration to AI-driven cost optimization. At our core, we believe that the future of cloud data is not just about storage, networking and compute—it’s about strategy, efficiency, and unlocking true value from your data.

Website https://deepwaveintel.com
Employees 2 (2 on RocketReach)
Address 920 Rose Ave, North Bethesda, Maryland 20852, US
Industry Data Infrastructure and Analytics

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Maher Ghanoudi is the Chief Cloud Platform Architect and AI Enabler of DeepWaveIntel.

2 people are employed at DeepWaveIntel.

DeepWaveIntel is based in North Bethesda, Maryland.

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