Headline

Senior DevOps & DataOps Engineer @ Capgemini | Building 99.9% Uptime Cloud Platforms on AWS & Azure | Kubernetes · Kafka · Terraform · CI/CD

About

What happens when a Fortune 500 bank needs to process 10TB of data daily with zero tolerance for downtime? They call someone like me. I'm a DevOps & DataOps Engineer at Capgemini, where I design and operate the cloud infrastructure and data platforms behind mission-critical systems for clients like Standard Chartered Bank and American Family Insurance. — — — Here's what I've built and the results I've delivered: ☁️ Cloud & Infrastructure → Designed multi-AZ, auto-scaling architectures on AWS & Azure → Cut infrastructure provisioning time by 50% using Terraform IaC → Services: EC2, EKS, S3, Redshift, Glue, Lambda, Kinesis, EMR, ADLS Gen2 📊 DataOps & Data Engineering → Architected end-to-end ETL/ELT pipelines (PySpark, Boto3, Airflow, Glue) → Built CDC, incremental loading, and data quality frameworks → Processing 10TB+ daily at 99.9% uptime ⚡ Real-Time Streaming → Built Kafka streaming on AWS MSK handling 100K+ events/second → Sub-second latency powering real-time analytics dashboards 🐳 Containers & Orchestration → Deploy & manage Kubernetes clusters on EKS & OpenShift (OCP) → Helm charts across 100+ containerized services at 99.9% uptime 🔄 CI/CD & Automation → End-to-end pipelines: Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD → Reduced release cycles by 60% 📈 Monitoring & Observability → Prometheus, Grafana, ELK Stack, CloudWatch, PagerDuty → Reduced MTTR by 40% through proactive anomaly detection 🔐 Security & Compliance → IAM, KMS, VPC hardening — achieved PCI-DSS compliance → 20% reduction in security incident risks — — — 📜 Certifications: • AWS Certified Developer – Associate • AWS Certified Cloud Practitioner 💬 Let's connect if you're building at the intersection of DevOps velocity and data platform reliability. 📩 shaikmansoor7853@gmail.com

Location

Bengaluru

AI stack

antigravity

claude code

claude

gemini

grok

kimi

Work experience

Associate Consultant at Capgemini, Apr 2026 - Present · 6 mos, Bengaluru, Karnataka, India · Hybrid, Promoted to Associate Consultant for technical depth and end-to-end delivery capability. Now leading client-facing solutioning, architecture design, and cross-team technical leadership for enterprise data platforms. Key Contributions: ▸ Led architecture design for a multi-source data lakehouse integrating AWS (S3 + Glue + Redshift) and Azure (ADLS Gen2 + Databricks + Synapse) with dbt as the unified transformation layer — serving 15+ downstream consumers ▸ Owned technical solutioning for [Client Name] engagement, translating business requirements into scalable data pipeline architectures — reducing stakeholder alignment cycles from 3 weeks to 5 days ▸ Mentored a team of 4 junior engineers on Terraform, Kubernetes, and CI/CD best practices, reducing onboarding ramp-up time by 40% ▸ Drove cost optimization initiative across cloud workloads, achieving $XX,000 in annual savings through right-sizing, reserved instances, and spot fleet strategies ▸ Established GitOps workflows using ArgoCD for 20+ microservices, enabling zero-downtime deployments with automated rollback capabilities

Senior Software Engineer at Capgemini, Oct 2022 - Apr 2026 · 3 yrs 7 mos, Bengaluru, Karnataka, India · Hybrid, Core DevOps and DataOps engineer for Standard Chartered Bank and American Family Insurance — two Fortune 500 clients with strict SLA, compliance, and uptime requirements. Key Contributions: ▸ Architected real-time streaming platform on AWS MSK (Kafka) processing 100K+ events/second with sub-second latency, enabling real-time fraud detection and analytics dashboards for Standard Chartered Bank ▸ Built and maintained 15+ ETL/ELT data pipelines using PySpark, AWS Glue, and Airflow — processing 10TB+ daily with 99.9% SLA compliance ▸ Designed multi-AZ, auto-scaling infrastructure on AWS using Terraform, reducing provisioning time by 50% and achieving 99.95% availability ▸ Managed 100+ containerized microservices on Amazon EKS and OpenShift, implementing Helm charts, HPA, and pod disruption budgets for zero-downtime deployments ▸ Built end-to-end CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, and Azure DevOps — reducing release cycles from bi-weekly to same-day (60% improvement) ▸ Implemented comprehensive observability stack (Prometheus, Grafana, ELK, CloudWatch, PagerDuty) with custom alerting rules, reducing MTTR by 40% ▸ Hardened security posture through IAM least-privilege policies, KMS encryption, and VPC network segmentation — achieving PCI-DSS audit compliance with 20% fewer security findings ▸ Automated infrastructure drift detection and remediation using Terraform state management and CI-driven plan/apply workflows

Software Trainee at Capgemini, Feb 2022 - May 2022 · 4 mos, Chennai, Tamil Nadu, India, Selected for Capgemini's intensive engineering training program. Built foundational skills in cloud-native development and container orchestration. ▸ Completed hands-on training in Java, Spring Boot, JPA/Hibernate, and RESTful API design — building 3 full-stack applications ▸ Earned AWS Cloud Practitioner certification during training period ▸ Deployed containerized applications using Docker and Kubernetes, gaining hands-on experience with pod management, services, and ingress

Education

Bachelor of Technology - BTech, Information Technology, Gayatri Vidya Parishad College of Engineering (Autonomous), 530048(CC-13)