Case Studies & Engagement Log
Data engineering, streaming, and AI work across source systems, stacks, and cloud providers. Filter by what you are actually looking for.
This system was built by our founders in senior engineering roles, before Data Sharks was founded. The architecture and outcomes are described as delivered.
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Natural Language Data Agent
Engagement: Global E-Commerce Enterprise
A domain-agnostic AI agent that lets analysts query data, helps engineers trace pipelines, and gives engineering managers visibility into team work from plain-English questions.
AI-Powered Analytics Assistant
Engagement: Leading Enterprise Retailer
Built a conversational analytics assistant that converts natural language into cloud SQL, enabling business users to self-serve repeated data pulls in real time.
Near Real-Time Data Ingestion
Engagement: Global E-Commerce Platform
Architected a high-throughput near real-time streaming ingestion pipeline syncing NoSQL document stores to a cloud analytical warehouse via event-driven triggers.
Large-Scale Traceability System
Engagement: Global Logistics Enterprise
Developed a distributed data traceability system with micro-batch incremental transformation models, versioned data contracts, and automated SLA alerting rules.