As a versatile professional in Backend Development, DevOps, and Site Reliability Engineering (SRE), I specialize in architecting tailored solutions across diverse client needs. My expertise spans programming languages, frameworks, and cloud technologies, with a primary focus on backend development. Proficient in Infrastructure as Code (IaC), continuous integration, incident response, and automation, I bridge the gap between development and operations. My distinctive programming prowess delivers innovative solutions for complex challenges. Committed to operational excellence, I optimize system reliability, scalability, and performance, making me an ideal candidate for Software Engineer, DevOps Engineer, and Site Reliability Engineer roles. Data Solutions: PostgreSQL, MySQL, Data Lakes, MongoDB, GraphQL, PySpark, Hadoop, Spark Hive, AWS EMR, RDS, Aurora, ElastiCache, Data Science Workflows AWS Cloud & OpenStack: AWS Lambda, S3, EC2 EMR, RDS, Kinesis Firehose, Terraform, CloudWatch, Glue, API Gateway, Elastic/OpenSearch, EKS (Kubernetes), ECS, Fargate Programming: Python 3, Java, JavaScript, Typescript, Go/Golang, SQL, Bash, Batch Operation Tools Proficiency: Jenkins, GitLab CI, GitHub Actions, Deployment pipelines, CI/CD automation, Prometheus, ElasticSearch, YAML, Unix/Linux, Docker Infrastructure as Code (IaC): Terraform, Ansible, CloudFormation, AWS CDK Python Frameworks: React.js, Angular > 7, Next.js, Vue.js, Jest.js, REST APIs, Selenium, Webdriver.io, Jupyter Notebooks Neural Networks: Tensorflow 2.X, Karas, AWS SageMaker, PyTorch, Sci-kit Learn, Deep Learning Machine Learning: Supervised Learning, Unsupervised Learning, RNN, KNN, CNN, SageMaker, NLP Tools and Methodologies: SDLC, Version Control Practices, ETL, Agile, Kanban, Jira, Confluence