Summary
Overview
Work History
Education
Skills
Certification
Projects And Accomplishments
Disclaimer
Timeline
Generic
Gopalakrishnan Ganesan

Gopalakrishnan Ganesan

Chennai

Summary

Senior Azure Cloud Solutions Architect & Data Platform Architect with 15+ years of experience delivering enterprise‑scale, high‑availability cloud and data platforms on Microsoft Azure. Specialized in cloud architectures, modern data platforms, and analytics ecosystems, with strong expertise in security, governance, cost optimization and automation‑first design. Proven leader in driving cloud modernization, platform strategy, and scalable, business‑aligned solutions

Overview

16
16
years of professional experience
1
1
Certification

Work History

Associate Principal IT Architect

Unisys India Private Ltd
Chennai
01.2017 - Current
  • Led the design and delivery of end-to-end Microsoft Azure cloud solutions, translating business requirements and strategic goals into secure, scalable, and cost-optimized architectures.
  • Architected and delivered High-Level and Low-Level Designs (HLD/LLD) across IaaS, PaaS, SaaS, and hybrid cloud models, aligned with Azure Well-Architected Framework and enterprise standards.
  • Successfully led and contributed to 100+ customer digital transformation initiatives, including cloud readiness assessments, migration strategies, modernization, and optimization programs.
  • Functioned as a trusted technical advisor and primary point of contact, collaborating with sales and leadership teams to align solution architecture with business objectives for large-scale transformation programs.
  • Developed technical proposals and guidelines on RFP responses, including architecture diagrams, deployment strategies, timelines, capacity planning, licensing, and cost estimates.
  • Designed and implemented enterprise Azure Landing Zones, reducing configuration drift and security risks by 40%+ while improving governance and compliance consistency.
  • Conducted technical presentations, demonstrations, and Proofs of Concept (POCs) to validate Azure solutions against complex client-specific use cases.
  • Led delivery of on-premises to Azure migrations for servers, databases, and applications using Lift & Shift, Re-platforming, and Re-architecting approaches, reducing infrastructure and operational costs by 25–40% post-migration.
  • Executed Oracle → SQL Server and Oracle → PostgreSQL migrations, lowering database licensing and operational costs by $0.6M–$2.4M per engagement.
  • Designed enterprise Azure Data Lake self-service analytics platforms (data warehouse, data lake, Lakehouse) using Azure Synapse, Databricks, Data Lakes, enabling scalable analytics, strong data governance, and 99.9%+ availability for critical data workloads, with securely managing structured and unstructured data at TB–PB scale.
  • Established Zero Trust security architectures across cloud platforms, enforcing identity-centric access and network isolation, improving security posture and audit readiness.
  • Led enterprise-wide cloud cost optimization initiatives, establishing financial governance models and delivering multi-million-dollar annual cloud savings.
  • Defined and governed Infrastructure-as-Code (IaC) standards, enabling consistent, secure, and repeatable provisioning across multiple cloud environments.
  • Architected enterprise-grade High Availability and Disaster Recovery strategies, aligned with business RTO/RPO objectives to ensure platform resilience and continuity.
  • Strong experience implementing cloud workload protection and posture management using Microsoft Defender for Cloud, Wiz, and Tenable, enabling continuous risk assessment, vulnerability management, compliance enforcement, and proactive threat detection across Kubernetes, compute, and data platforms.
  • Established CI/CD and DevOps best practices, streamlining deployment cycles from weeks to days, enhancing delivery reliability across programs.
  • Designed serverless, supporting BI and analytical workloads at scale architectures, to support scalable, event-driven workloads while minimizing operational overhead and infrastructure complexity.
  • Hands‑on experience with Azure Log Analytics, Prometheus, and Grafana for monitoring, alerting, and performance optimization of large‑scale cloud and Kubernetes platforms.
  • Governed scalable data integration and orchestration frameworks using Azure Data Factory, ensuring reliable and maintainable data pipelines.
  • Defined Lakehouse architectures using Azure Databricks, improving data processing efficiency by 40–60% for analytics workloads.

System Analyst- Oracle Database Administrator

Hexaware Technologies Private Ltd
Chennai
04.2010 - 12.2016
  • Oracle Database Management from 9i to 12c.

Education

Bachelor of Engineering -

Anna University
Chennai, Tamilnadu
01-2009

Skills

  • Azure Cloud architecture
  • Cloud Solution Design
  • Cloud migration strategies
  • Zero trust cloud security
  • Serverless architecture
  • Microservices architecture
  • Infrastructure as code
  • High availability solutions
  • Azure DevOps practices
  • Data platform strategy
  • Azure Kubernetes
  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake
  • Azure Synapse
  • Data warehousing
  • Power BI tools
  • FinOps practices
  • Cost optimization
  • Agile delivery
  • Digital transformation leadership
  • Technical leadership
  • Stakeholder collaboration
  • Observability & Monitoring

Certification

  • Azure Solutions Expert (AZ-305)
  • Azure Data Engineer (DP-203)
  • Azure Administrator (AZ-104)
  • Azure Security Engineer (AZ-500)
  • Azure Fundamentals (AZ-900)

Projects And Accomplishments

Enterprise Data Platform Modernization (Global, Multi-Domain)

Designed and led a centralized Azure data platform—Data Lake + Databricks (Lakehouse) + Synapse + ADF + Power BI—modernizing analytics, reporting, and dashboards across enterprise applications such as Finance, Human Resources, Security, Compliance, Sales & Marketing, Logistics, Field Engineering.

Delivered 99.9%+ availability, reduced reporting latency from hours to minutes, and improved data processing performance by 40–60% through a Medallion architecture and governed semantic models.

Developed data strategy five years roadmap and self-service Business Intelligence platform.

Multi-Tenant Analytics Platform with Federated Data Lakes

Defined the reference architecture for a ServiceNow-centric, multi-tenant analytics platform on Azure with a dedicated Data Lake per client (strict isolation) and shared, reusable ingestion/processing/BI patterns (AKS ingestion, Databricks Lakehouse, Power BI).


Enabled onboarding across 25+ verticals—Airlines/Travel, Logistics/Cargo, Finance/Insurance, Healthcare/Life Sciences, Government/Public Services, Retail/Consumer Goods, Manufacturing/Energy, Technology/Telecom, Education/Nonprofit, Agriculture/Utilities—reducing new-client onboarding from weeks to days, and delivering secure, governed self-service analytics,,
Security, Governance & Cost Outcomes (Cross-Program centralization)

Implemented Zero Trust (Entra ID, RBAC/Policy, network isolation, Key Vault) and Azure Advisor-driven hardening., Raising Secure Score from ~60% to 85–95%.

Established FinOps guardrails (budgets, show back/chargeback, RI planning, rightsizing) driving multi-million-dollar annual cloud savings. 

Standardized IaC (Terraform/Bicep) and CI/CD (Azure DevOps) to cut environment set-up time by 50%+ and reduce release cycles from weeks to days.


Implemented cloud-based HA/Backup/DR, cut provisioning from weeks to hours, and reduced post-migration infra/ops costs by 25–40% while ensuring minimal downtime through phased cutovers and validation.


Oracle Footprint Optimization & License Cost Reduction

Rationalized workloads and migrated the right candidates to SQL Server, PostgreSQL, and Oracle Cloud Infrastructure (OCI) while consolidating retained Oracle estates.,

Established deployment standards to prevent license sprawl and achieved ~$1.6M annual savings, improving cost predictability and aligning platforms with usage and performance needs.


Large-Scale Data Center Migration to Cloud

Architected and executed on-prem →Cloud migrations for 600+ servers (VMware Esi + physical), 200 Oracle databases, and 400 SQL Server instances using Lift & Shift, Re-platform, and re-architect strategies.

Disclaimer

I do hereby declare that the particulars of information and facts stated above are true, correct and complete to the best of my knowledge.

Timeline

Associate Principal IT Architect

Unisys India Private Ltd
01.2017 - Current

System Analyst- Oracle Database Administrator

Hexaware Technologies Private Ltd
04.2010 - 12.2016

Bachelor of Engineering -

Anna University
Gopalakrishnan Ganesan