


Cross-Functional Collaboration & Agile Delivery
Team Alignment Across Teams: Collaborated across seven teams (~60 members each) to align on security protocols, deployment strategies, and DevOps best practices, ensuring operational continuity.
Agile & Onboarding Processes: Introduced CI/CD workflows and onboarding documentation for scalable adoption of DevOps practices, accelerating integration and improving team productivity.

Infrastructure as Code (IaC) & DevOps Architecture
IaC Implementation: Deployed infrastructure using Terraform and Azure Resource Manager, achieving repeatable, automated provisioning of cloud resources and reducing deployment time by 65%.
DevOps Architecture: Designed high-availability DevOps architectures supporting real-time staff management systems, enabling rapid feature delivery and zero-downtime deployments across environments.

Azure DevOps & Infrastructure Management
Scalable Azure Environments: Led the design and implementation of Azure environments (Dev, Stage, QA, Prod), ensuring secure, scalable, and high-performing platforms for enterprise-grade employee-facing applications.
CI/CD Pipeline Development: Built and optimized CI/CD workflows using Azure DevOps, Jenkins, and Python-based automation, enabling continuous integration, reducing deployment cycles by 30%, and minimizing downtime.
Containerization & Orchestration: Standardized application deployments with Docker and Kubernetes, ensuring reliable and consistent environments across multiple stages, reducing deployment errors by 40%.

Real-Time Data Processing & Architecture
ETL Pipelines for Critical Systems: Engineered scalable ETL pipelines using Azure Data Factory and Databricks to process real-time baggage data, providing global data accessibility for 20,000+ users and reducing data latency by 25%.
Big Data Integration: Leveraged Azure Data Lake, HDFS, and Kafka for seamless ingestion, processing, and governance of real-time data streams. Ensured scalability and compliance with corporate data governance standards.
Advanced Data Modeling: Used predictive analytics in Azure Machine Learning to forecast resource demand, improving operational efficiency.

Automation & Scripting for Efficiency
Security Automation: Automated vulnerability detection and management for 60+ repositories with Coverity, Black Duck, and Nucleus, reducing manual checks by 90% and ensuring rapid remediation of risks.
Process Automation: Developed Python and Bash scripts to streamline DevOps tasks like ETL orchestration, resource scaling, and deployment processes, cutting lead time.
