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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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.
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.
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.