Cloud Data Solutions
Design and implement scalable cloud-based data platforms that support analytics, reporting, and machine learning workloads.
Scalable Data Foundations
A strong analytics strategy starts with reliable data infrastructure. I help organizations move from fragmented systems to centralized, cloud-ready platforms.
My focus is on simplicity, cost-awareness, and analytics-readiness — not over-engineering.
Centralized Data Platform
Consolidate multiple data sources into a single, analytics-ready environment for consistent reporting and analysis.
Flexible Integration
Seamlessly integrate databases, APIs, and third-party tools into a unified data architecture.
Security & Governance
Implement access controls and data governance practices to protect sensitive information.
Scalable Architecture
Design cloud solutions that scale with data volume and analytics demand without constant rework.
Cloud Data Enablement Phases
Current-State Assessment
Review existing data sources, workflows, and pain points to understand constraints, risks, and priorities.
Discovery phaseTarget Architecture Design
Define a cloud architecture aligned with analytics, reporting, and future scalability needs.
Design & alignmentIncremental Build & Integration
Build pipelines and datasets incrementally, validating outputs and adjusting design based on real usage.
Iterative deliveryStabilization & Enablement
Optimize performance, document systems, and support adoption by analytics and business users.
Ongoing improvement