Work
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.
2 entries
Streaming & CDC~60% Compute Cost Saved
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.
Cloud RunEventarcPub/SubTerraform+1
ETL & ELT1M+ Cartons / Day
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.
dbtAirflowSQL