Summary

• 15+ years of experience architecting and delivering end-to-end enterprise solutions across Telecom, Retail, Cybersecurity, and Travel domains.
• Deep expertise in multi-cloud architecture, including AWS (Certified Solution Architect), Google Cloud (Certified Solution Architect), and hands-on experience with Microsoft Azure.
• Strong consulting background in data lifecycle management from data ingestion and warehousing to BI and visualization tools across cloud and hybrid ecosystems.
• Proven success in guiding enterprises through cloud adoption, legacy modernization, and DevOps transformation using Kubernetes, Docker, and orchestration platforms.
• Hands-on experience with on-premise infrastructure, shared hosting, and designing hybrid cloud environments for secure, scalable, and cost-effective deployments.
• Trusted advisor for enterprise clients in infrastructure automation, disaster recovery planning, and performance optimization across cloud and traditional systems.

Certifications

• AWS Certified: Cloud Practitioner - Foundational
• AWS Certified: Solutions Architect - Associate
• Google Cloud Certified - Cloud Engineer

Solutions

• AWS Serverless Architecture
• Google Serverless Architecture
• AWS Data Analytics Platform
• Google Data Analytics Platform
• Micro-service based architecture with Kubernetes
• Event-Driven Architecture handling with pubsub protocols

Cloud Services

• Amazon Web Services (AWS): EC2, S3, EKS, RDS, Lambda, CloudFormation, Route53, IAM
• Microsoft Azure: AKS, Azure DevOps, Azure Functions, App Services, VNet, Key Vault, Bicep
• Google Cloud Platform (GCP): GKE, Cloud Build, Pub/Sub, BigQuery, Deployment Manager
• Hybrid & Legacy: On-Prem Infrastructure, Shared Hosting, Hybrid Cloud Design
• Azure DevOps Pipelines, GitHub Actions, GitLab CI, Bitbucket Pipelines
• Jenkins, CircleCI, Travis CI
• Argo Workflows
• Docker
• Kubernetes (AKS, EKS, GKE)
• Helm
• ArgoCD
• PowerShell & Bash scripting
• Terraform
• AWS CloudFormation, Azure Bicep, GCP Deployment Manager
• Ansible, Chef
• Prometheus, Grafana, Thanos
• Elasticsearch, Redis, Memcache,
• Datadog, New Relic, Dynatrace
• Azure Monitor, AWS CloudWatch, GCP Operations Suite
• Python, JS, Nodejs, JAVA, .Net
• REST APIs, GraphQL, gRPC
• GitHub, GitLab, Bitbucket
• Tools: Confluence, JIRA, Trello, Slack, MS Teams

Work Experience

Data/Solution Architect:

Timeline: Sep-2018 to Present

Summary:

• Cloud Consulting for various Startups and helping enterprises to adopt public cloud platforms
• Designing and Maintaining end to end Data Analytics solutions on Tableau, Qlik and PowerBI
• Bringing Voice Enabled Solutions to various enterprises.

Delivery Manager

Timeline: Dec -2016 to Aug - 2018

Summary:

• Handling key Accounts & managing end-to-end deliveries
• Experience working with SIEM products like Splunk, Qradar, ServiceNow, ELK
• Delivering and maintaining end-to-end BI solutions using Tableau.

Pre-Sales Manager

Timeline: Jul - 2009 to Aug - 2018

Summary:

• Handling the South East Asian region for managing and maintaining customer relations.
• End to End Solution Design for various Telecom Operators
• Design & deliver Data Analytics related solutions for Telecom domain.

Projects Worked On

Build a Data Validation Solutions for all Tier2 Banks India:

Descriptions:

• Needed to build a solution which would allow a Core Banking application to validate their outgoing SMSs to comply with Indian regulations within stipulated timings - 2 Weeks and processing more than 90M messages per month.

Technology Stack:

• Kong- API Gateway
• Docker - Containerized Solution
• FastAPI
• Python

Hyper Automation for leading CPU manufacture:

Descriptions:

• Building an overall automation solution to allow users to invoke an infrastructure with a single command, running their ML Algos and then dissolving the infrastructure as soon as ML Run is done.(Building Infra with at-least 10 EC2 Instances with C5-12X Large Instances).

Technology Stack:

• AWS Step Functions
• AWS S3
• AWS API Gateway
• AWS Batch Processing
• AWS SAM (Framework)

DataLake Migration For a Fortune500 Company:

Descriptions:

• Creating a centralize data lake with more than 100 PB worth of data
• Migrating their existing data silos to a centeralise location
• Architecting and deploying an end to end ETL pipelines for the data collection and processing

Technology Stack:

• AWS Lake formation
• AWS Glue
• AWS S3
• Cloud formation
• Athena