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Design and implement an internal analytics dashboard that consolidates data from disparate sources, supports detailed inquiry before transactions, and presents aggregated data swiftly through standardized data read models.

Design a multi-factor analysis engine that ingests data from various sources, analyzes 21 carrier-specific factors, and generates prioritized carrier recommendations using a scoring model complemented by machine learning algorithms.

Design and implement a system that captures device data indirectly via database integrations, supports data analysis, and provides visualization through dashboards tailored for multi-regional markets.

Develop a bifurcated frontend and backend platform for high-volume data aggregation, processing, and presentation, deployed on cloud infrastructure with scalable architecture.

Develop an automated, containerized deployment environment with containerized legacy services, incorporating health checks and load balancing, supported by infrastructure as code for consistent environment provisioning.

Development of a modular backend system to manage banking operations, incorporating process modeling, API communication, and scalable architecture redesign.

Development of a cloud-based video processing pipeline incorporating automated transcoding, storage, and delivery, coupled with a highly available front-end delivery system that scales according to demand.

Design and implement a comprehensive platform that allows users to browse, order, and manage payments for medications and lab tests, with integrated delivery scheduling and tracking features.

A centralized system that integrates multiple data sources, processes data through a weighted algorithm, and displays an up-to-date credibility score for each contractor.