As an experienced DevOps and Analytics Engineer with over 2 years in the industry, I specialize in designing, implementing, and optimizing development, testing, and production environments. My expertise spans across cloud platforms like AWS and Azure, container orchestration with Kubernetes and Docker, and CI/CD pipeline development using Jenkins and GitLab. I also possess strong skills in data engineering, including data processing with Spark, SQL, and data integration techniques.My strong analytical and problem-solving skills enable me to drive organizational success through innovative solutions. I have managed cloud-based resources, orchestrated Kubernetes clusters, and implemented infrastructure-as-code (IaC) using Terraform. Additionally, my experience includes developing ETL pipelines, managing various database services, and applying machine learning techniques to extract actionable insights from data.I am passionate about continuously learning and integrating new technologies, particularly in the realms of Machine Learning and Data Science. Let's connect to explore opportunities where data meets strategy and where we can drive efficiency and innovation together.Key Skills:- DevOps: AWS, Azure, Kubernetes, Docker, CI/CD, Terraform, GitOps- Data Engineering: Spark, SQL, ETL, Data Integration, Hive, Apache Kafka, Redshift, Azure SQL- Machine Learning: NLP, Data Visualization- Scripting: Bash, Python, PowerShell- Monitoring: Prometheus, Grafana, CloudWatch