In my role as a DevOps Engineer, I took charge of various projects, navigating through a spectrum of challenges spanning different domains.[Project #1]At the heart of this project was the orchestration of a robust big data infrastructure within the automotive industry. My pivotal role involved maintaining the infrastructure for a product dedicated to collecting data from vehicles and predicting future events, leveraging the ingested data. Responsibilities extended to orchestrating Kafka clusters, meticulously developing and maintaining infrastructure on AWS, including the establishment of data lakes. Furthermore, I focused on fine-tuning the efficiency of GitLab CI pipelines.Stack: - AWS (EC2,S3,VPC,Route 53, ECS, ECR, Batch, RDS, CloudWatch, Lambda, Athena, Glue, OpenSearch, SQS, SNS, IAM)- Gitlab CI- Kafka- Python- Terraform[Project #2]I held the reins in maintaining an Azure-based application that served as the bridge connecting international students with universities across the globe. My key responsibilities centered around fine-tuning operational efficiency within multiple Kubernetes clusters. I also took charge of crafting and managing pipelines for both .NET and Node projects, ensuring a smooth development and deployment process. Moreover, my hands-on involvement extended to shaping and maintaining the application's infrastructure on the Azure platform, contributing to a reliable and resilient system.Stack:- Azure (Managed Kubernetes Service, Azure Container Apps, Azure Key Vault, Azure Application Gateway, Azure DevOps, Azure Content Delivery Network, Azure Virtual Network, Azure Blob Storage)- Bash- Terraform