Ethiraj Krishnamanaidu
Data & AI Architect | Strategic Advisor
I lead a specialized data and analytics practice helping energy and industrial companies get clear, trusted visibility into how their business is actually performing.
I've seen that as operations grow, reporting often becomes fragile:
- Utilization and downtime tracked in fragmented manual tools
- Financial and operational numbers that don’t reconcile
- Dashboards that exist but aren’t trusted
- Decisions made after the fact instead of in real time
I help leadership teams fix this — without long, complex analytics projects.
My approach typically starts with a short, focused assessment to validate data sources, clarify KPI definitions, and build a working executive or operations dashboard using real data. From there, teams move forward with confidence, whether that means targeted dashboard builds or improving underlying data foundations.
I bring extensive experience designing and delivering analytics and data platforms across energy and other asset-heavy industries. Following a career building enterprise-grade systems for global leaders like MSCI and SLB/OSDU, I now work directly with clients to provide that same level of senior expertise — no junior-heavy consulting teams, no handoffs.
Our goal is simple:
help energy and industrial leaders move beyond manual reporting processes and into reliable, decision-ready analytics — quickly and pragmatically.
Professional Background
Throughout my career, I've specialized in transforming complex data challenges into actionable business insights. My work spans enterprise-scale data platforms, AI/ML implementations, and operational analytics for some of the world's leading organizations.
Key Achievements
- Architected NextGen Data Platform for MSCI, leveraging Lakehouse and Data Mesh architectures
- Led development of reference architecture for SLB/OSDU, revolutionizing data accessibility in the energy sector
- Enhanced AI-driven data collection and risk analysis for UnitedHealthcare
- Designed multi-cloud CI/CD pipelines for global energy companies
Areas of Expertise
Data Platform Architecture
Lakehouse, Data Mesh, and modern cloud-native architectures
AI & Machine Learning
End-to-end ML/AI implementation, LLM development, MLOps
Operational Analytics
Executive KPI visibility and real-time operations tracking
Data Governance
Frameworks, quality monitoring, and compliance
Cloud Migration
Multi-cloud strategy and optimization
Enterprise Architecture
Aligning technology with business objectives