Cloud Resource Data Capture Pipeline

The Problem

Cloud resources like load balancers generate continuous operational data — but that data disappears unless captured. Security and ops teams were flying blind on historical patterns.

What I Built

An event-driven pipeline that captures data from cloud resources at scale, normalizes it, and dumps it into a data lake. Downstream teams query it for security vulnerability detection and operational decision-making.

Technical Challenges

• High-throughput ingestion without data loss
• Schema normalization across heterogeneous cloud resource types
• Cost-efficient storage tiering for hot vs cold data
• Query patterns optimized for security analysis use cases

Architecture

[Diagram to be added]

Results & Impact

• Data lake powering security and ops decisions across the organization
• Historical data enabling pattern detection impossible in real-time only