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Registration: 06.02.2025

Sidharth Paul

Specialization: DevOps Engineer
— Hybrid cloud Senior DevOps engineer with extensive understanding of high availability architecture and concepts. — Purpose-driven professional with capacity to be strong team player plus work effectively independently. — Skilled, Innovative Engineer with 12+ years of hands-on experience in multi cloud support, automation using Kubernetes, Python, Data engineering, Infrastructure automations using Iac Terraform and optimization of applications on AWS/Azure platform. — Azure Administrator AZ-104 (Certified).
— Hybrid cloud Senior DevOps engineer with extensive understanding of high availability architecture and concepts. — Purpose-driven professional with capacity to be strong team player plus work effectively independently. — Skilled, Innovative Engineer with 12+ years of hands-on experience in multi cloud support, automation using Kubernetes, Python, Data engineering, Infrastructure automations using Iac Terraform and optimization of applications on AWS/Azure platform. — Azure Administrator AZ-104 (Certified).

Skills

Azure
Control Tower
Account Factory
Landing Zone
Service Catalog
AWS
GitHub
GitLab CI
Azure Data Factory
Terraform
Azure DevOps
Snowflakes
Microsoft Defender
Kubernetes
Docker
ReplicaSets
Grafana
Prometheus
Python
CI/CD
Ansible
Lambda
Blue-Green
Oracle
MySQL
Microsoft SQL

Work experience

Senior DevOps Engineer
01.2023 - 09.2024 |Bank Of Montreal
Azure, Control Tower, Account Factory, Landing Zone, Service Catalog, AWS, GitHub, GitLab CI, Azure Data Factory, Terraform, Azure DevOps, Snowflakes, Microsoft Defender, Kubernetes, Docker, ReplicaSets, Grafana, Prometheus, Python
● Managed and optimized Azure resources, leveraging best practices to enhance cloud security, scalability, and cost-efficiency, aligning infrastructure with application requirements. ● Implemented AWS Organization management of multi-account setup using Control Tower, Account Factory, Landing Zone and Service Catalog. ● Designed and support cloud infrastructure in AWS. Create and execute plans to migrate designated services from on-prem data centers to AWS with cloud architecture best practices in mind. ● Develop and maintain CI/CD pipelines for automated infrastructure deployment, leveraging tools such as GitHub actions and GitLab CI for continuous delivery/ Integration. ● Design and implement scalable data pipelines using Azure Data Factory. ● Implementing the Datadog for monitoring capabilities for applications, servers, and infrastructure across hybrid cloud environments, with features like easy integration, customizable dashboards, and robust metric aggregation. ● Automated the provisioning of cloud infrastructure by creating reusable Terraform modules to deploy Azure resources like VM's; fixing the version and provider to specific version. ● Implement CI/CD pipelines for data solutions using Azure DevOps; also using Snowflakes to extract data from Azure Blob storage for both structured and unstructured data. ● Deploy, manage, and optimize cloud security technologies,including CWPP and CSPM solutions, using Microsoft Defender for Endpoint to scan Azure hosted VMs and workloads. ● Kubernetes Orchestrates containerized applications, managing deployment, scaling, and operations across clusters with automated load balancing and self-healing capabilities. ● Using Docker for Packages applications and their dependencies into lightweight, portable containers, ensuring consistency across development, testing, and production environments. ● Deployments on Kubernetes cluster and Azure Cloud like AKS services; diving the clusters via namespaces and ReplicaSets and maintaining the K8 environment. ● Enhanced monitoring and alerting systems by integrating Grafana dashboards with Prometheus, providing real-time insights and reducing downtime. ● Facilitated successful cross-functional collaborations for the completion of key projects, fostering strong working relationships among team members. ● Built and automated CI/CD pipelines in GitHub using GitHub Actions for continuous integration and delivery on ADO and then automating it using Terraform or boto3 modules inside python scripts.
Senior Consultant / DevOps
09.2021 - 12.2022 |Ernst & Young
AWS, CI/CD, Github, GitLab CI, Ansible, Terraform, Lambda, Blue-Green, Oracle, MySQL, Microsoft SQL
● Designed and support cloud infrastructure in AWS. Create and execute plans to migrate designated services from on-prem data centers to AWS with cloud architecture best practices in mind. ● Worked with senior Managers for cloud infrastructure design & data implementation strategies, cost estimation and management, cloud administration. ● Develop and maintain CI/CD pipelines for automated infrastructure deployment, leveraging tools such as Github, GitHub actions and GitLab CI for continuous delivery/ Integration. Implemented Ansible and Terraform to fully automate the provisioning of multi-tier application stacks as needed for development teams and production sites. ● Design, develop, and maintain CI/CD pipelines and implement it for real-time decisioning, reporting, optimization, data collection, and related functions. ● Deploying Serverless application into AWS environment using Lambda and Blue-Green deployment strategy. ● Implement and manage access controls and security policies to protect sensitive data; rotating the passwords, maintaining password-vaults. ● Working on digital strategy, cloud platform capabilities, and Digital transformation roadmap for all business driven solutions. ● DBA for Oracle, MySQL, and Microsoft SQL databases. Performing Health checks, Replication jobs, and DB sharding for overall DB maintenance. ● Automates infrastructure provisioning and ensures environment consistency through Infrastructure as Code (IaC) tools like Terraform and Ansible. ● Deployments on Kubernetes cluster and AWS/Azure Cloud like EKS/ECR/AKS services.

Educational background

Computer Science (Bachelor’s Degree)
2007 - 2011
Punjab Technical University

Languages

EnglishAdvanced