Solution Architect · Data Architect · Enterprise AI Leader
Bharathi Murugesan
Solution, Data & AI Architect
Architecting high-availability cloud, data lakehouse, and event-driven integration platforms for the electricity and gas utility sector—while driving practical enterprise adoption of Agentic AI across Google Antigravity, Gemini Enterprise, GitHub Copilot, Claude, and Microsoft 365 Copilot.
Executive summary
Architecture across the lifecycle
Combining an Electrical & Electronics Engineering foundation with 10+ years in enterprise software and data architecture, I bridge operational utility networks (OT) and cloud-native IT platforms—guiding executive stakeholders, vendors, and engineering squads from target-state design to resilient production operations.
Enterprise & Event-Driven Integration
Designing decoupled, high-throughput platforms using Apache Kafka 4.0 (KRaft), microservices, API-first patterns, and automated webMethods cloud migrations.
Cloud Data Lakehouse & Analytics
Modernising legacy data warehouses into governed Azure Lakehouse and Data Mesh platforms across Databricks, Delta Lake, Synapse, ADF, InfoSphere CDC, and SAP S/4HANA Analytics.
OT/IT Convergence & Grid Modernisation
Architecting Zero-Trust and HiSec solutions for Layer 3 OT Shared Services, Pole-Top Battery storage, Smart Metering (AMI), and Power Quality Harmonic Metering.
Full-Stack Observability, SRE & AIOps
Embedding production reliability with OpenTelemetry, Prometheus, Grafana, and AIOps predictive alerting alongside SAFe/Agile governance and vendor transitions.
AI-augmented architecture & delivery
Enterprise & Agentic AI in Practice
Beyond traditional cloud and data architecture, I actively evaluate, govern, and implement next-generation Agentic AI and Enterprise Copilot platforms in client delivery—accelerating architecture design, code modernisation, data engineering, and operational decision-making under enterprise security guardrails.
Client-Proven AI StackGoogle Antigravity
Autonomous multi-step engineering workflows, specification-driven refactoring, and agentic codebase orchestration.
Gemini Enterprise
Large-context multimodal reasoning for architecture blueprint synthesis, legacy code comprehension, and governed enterprise AI solutions.
GitHub Copilot
AI-assisted software and data engineering with custom repository instructions, security guardrails, and accelerated CI/CD & pipeline delivery.
Claude
Deep architectural trade-off analysis, ADR and technical specification authoring, complex SQL/PySpark synthesis, and schema design.
Microsoft 365 Copilot
Enterprise AI transformation, stakeholder readiness, and workflow automation across business and engineering teams (Certified Copilot Sales Champion).
AIOps & Intelligent Automation
Predictive incident alerting over OpenTelemetry/Prometheus telemetry streams, combined with Power Automate and LLM prompt engineering.
Core competencies
What I architect & deliver
Implementing governed AI assistants and agentic workflows across engineering and client business teams.
Designing scalable, secure, cloud-native platforms and integration backbones for mission-critical operations.
Unifying real-time streaming CDC and enterprise batch workloads into governed Lakehouse platforms.
Bridging field network telemetry, regulatory market compliance, and enterprise cloud platforms.
Delivering full-stack operational visibility, predictive incident alerting, and automated cloud deployments.
Leading multi-vendor transitions, SAP/Power BI modernisation, and high-performing engineering squads.
Explore how these capabilities translate into production utility architectures and program outcomes.
View Case Studies & Career History →