Michael Gringauz
Senior Aws Cloud Engineer @BMO
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WORK HISTORY
Senior Aws Cloud Engineer @BMO
Toronto, ON, CA
Developed AWS Cloud Development Kit (CDK) stacks in TypeScript to automate infrastructure provisioning, reducing environment setup time by 85%.Enhanced production and QA environment reliability by adopting Infrastructure as Code (IaC) best practices and implementing automated validations, ensuring full configuration parity and eliminating deployment issues caused by environment drift.Streamlined CI/CD pipelines by automating build and release processes, therefore doubling deployment speed.Configured and managed Amazon EKS clusters, optimizing VPC networking, IAM roles, and autoscaling nodegroups to improve geo availability, enhance security compliance, and reduce costs (FinOps) by 30% month tomonth.
EDUCATION
University of Toronto
Statistics and Computer Science
BrainStation
Diploma of Data Science
ABOUT MICHAEL GRINGAUZ
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 WorkflowsAWS Cloud & OpenStack: AWS Lambda, S3, EC2 EMR, RDS, Kinesis Firehose, Terraform, CloudWatch, Glue, API Gateway, Elastic/OpenSearch, EKS (Kubernetes), ECS, FargateProgramming: Python 3, Java, JavaScript, Typescript, Go/Golang, SQL, Bash, BatchOperation Tools Proficiency: Jenkins, GitLab CI, GitHub Actions, Deployment pipelines, CI/CD automation, Prometheus, ElasticSearch, YAML, Unix/Linux, DockerInfrastructure as Code (IaC): Terraform, Ansible, CloudFormation, AWS CDK PythonFrameworks: React.js, Angular > 7, Next.js, Vue.js, Jest.js, REST APIs, Selenium, Webdriver.io, Jupyter NotebooksNeural Networks: Tensorflow 2.X, Karas, AWS SageMaker, PyTorch, Sci-kit Learn, Deep LearningMachine Learning: Supervised Learning, Unsupervised Learning, RNN, KNN, CNN, SageMaker, NLPTools and Methodologies: SDLC, Version Control Practices, ETL, Agile, Kanban, Jira, Confluence
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