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.
Filter
Reset all (5)3 entries
SAP ECC to Databricks Lakehouse: Enterprise CDC Architecture on Azure
Engagement: Global Industrial Manufacturer
Architected an enterprise Lakehouse solution migrating 5M daily CDC records from SAP ECC (Oracle) to Azure Databricks. Features ODP/OData ingestion, automated PySpark schema evolution & drift alerting, multi-tier data quality quarantine, and Serverless compute optimization.
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.
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.