Deeptaroop Mojumdar
Cloud · DevOps · Data Engineer
Highlights
Cloud, DevOps, and Data platforms delivered globally.
Architected resilient workloads across three hyperscalers.
Automation-first delivery culture that optimizes spend.
Summary
Cloud and DevOps Engineer / Technology Consultant with 10+ years of experience delivering scalable, secure, and cost-effective cloud and data-driven solutions across AWS, Azure, and GCP. Experienced in cloud architecture, automation, infrastructure management, and modern data platforms, enabling organisations to transform through efficient, compliant, and reliable solutions. Certified professional with strong expertise in DevOps, data engineering, and machine learning, applying Agile and design-thinking approaches to solve complex business challenges.
Skills
Cloud Platforms
- AWS ((EC2, Lamda, S3, RDS, DynamoDB, ECS, Glue, Athena, AppSync, API Gateway, CloudFront, WAF, Cognito, Identity Center, Control Tower, Amplify, Image Builder, IAM)
- Azure (Virtual Machine, BLOB Storage, Functions, Data Factory, Data Lake)
- GCP (GKE, Cloud services)
DevOps & Delivery
- CI/CD, GitHub, Terraform, CloudFormation, Kubernetes, Helm, Docker, Packer, Ansible
- Agile leadership, Automation strategy, DevSecOps guardrails
Data & ML
- Lakehouse architectures, ETL/ELT with Glue and Databricks
- PySpark, SQL, Airflow, MLflow experiment tracking, DVC
- Python, Bash, data modeling
Featured Projects
mlops-banking-customer-churn
End-to-End MLOps with DVC, MLFlow and Docker
Stack: Python · Docker · Jypyter Notebook View on GitHub →analytics_dashboard
Static analytics microsite showcasing visualizations and storytelling experiments for cloud/data initiatives.
Stack: HTML View on GitHub →MachineLearning
Notebook-driven implementations of foundational ML algorithms with experimentation scaffolding.
Stack: Jupyter Notebook · Python View on GitHub →packer_aws_ec2
Packer + HCL templates that bake opinionated AWS AMIs for repeatable infrastructure provisioning.
Stack: Packer · HCL View on GitHub →packer_docker
Reusable Docker image factory powered by Packer, enabling automated base image hardening.
Stack: Packer · HCL View on GitHub →fbprophet
Containerized fbprophet setup with curated dependencies for quick time-series experimentation.
Stack: Docker View on GitHub →Featured Posts
Cloud Cost Optimisation Reflection
Shift left approach to FinOps, the velocity trap and journey of cloud cost optimisation with positive results.
Read on LinkedIn →AWS Recertified
Thrilled to share that I’ve successfully renewed my 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 – 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 certification!
Read on LinkedIn →"No Trust" Approach to Reliability
Highlights from our automation-first delivery culture—GitHub Actions reuse, Terraform/CDK convergence, and the DevSecOps controls that keep shipping fast.
Read on LinkedIn →Move API Launch
Breakdown of how we re-architected the Move AI stack, from GraphQL microservices to Lakehouse telemetry, plus the automation guardrails that keep it resilient.
Read on LinkedIn →2 Years at Move
Reflections on scaling data and cloud platforms, lessons from enterprise DevOps, and how design thinking shapes my delivery style.
Read on LinkedIn →AWS Summit 2023
A retrospective on lessons learned building cloud-native operations, managing enterprise change, and coaching teams through the platform journey.
Read on LinkedIn →Experience
Lead Cloud / DevOps / Data Engineer · Move AI Pvt. Ltd.
Product-scale architecture, platform automation, and analytics enablement
- Designed a scalable microservices architecture for the GraphQL API platform and led API performance optimization to keep latency under 100 ms.
- Built Lakehouse data foundations plus Glue/Athena ETL to uncover product usage trends and visualize KPIs in QuickSight.
- Implemented MLflow-based experiment tracking, centralized backups with defined RTO/RPO, and automated API documentation via Docusaurus.
- Migrated infrastructure to Terraform/CDK, centralized identity with AWS Identity Center and Control Tower, and enforced GDPR/SOC2 guardrails through DevSecOps.
- Delivered Auth backends (Okta, Auth0, Google, Apple SSO), reusable GitHub Actions, and a unified error code framework across microservices.
- Cut cloud operational spend by 15% through usage optimization initiatives.
Cloud / DevOps Engineer · Accenture Solutions
Cloud operations for a European automotive joint venture
- Administered GKE Kubernetes workloads and drove pilot onboarding for public/private cloud delivery models.
- Automated Linux patching with Ansible (saving 40 hours/month) and introduced AWX-driven request automations (saving 100 hours/month).
- Created Automation Anywhere bots that reclaimed 15 hours/month and built Flask-based problem management plus ML forecasting utilities.
- Standardized server provisioning and hardening to CIS benchmarks while leading problem management and automation improvements.
Unix Administrator · Tata Consultancy Services
Infrastructure support for global data analytics and insurance clients
- Delivered Linux administration for insurance and analytics organizations, streamlining monitoring and reducing ticket MTTR.
- Provided 24/7 infrastructure stewardship while coordinating with cross-functional engineering teams.
Education
MSc, Data Science and Analytics
Royal Holloway, University of London
Computer Science Scholarship recipient · Passed with Distinction
B.Tech, Electronics & Communications Engineering
West Bengal University of Technology
8.38 DGPA
Certifications
- AWS Certified: Solutions Architect Associate
- Microsoft Certified: Azure Fundamentals
- Google Cloud Certified: Associate Cloud Engineer
- ITIL® Foundation Certificate in IT Service Management
Recognitions
- Star Performer · Tata Consultancy Services
- Accenture ACE Award · Growth Catalyst
- Computer Science Scholarship · Royal Holloway (2019)