Sameer S.

WORK HISTORY

EDUCATION

ABOUT SAMEER S.

Deep level machine learning, cloud development and automation experience in AWS and Azure.> Specialty in architecture, design and implementation of containerization and orchestration using Kubernetes, Docker, Amazon ECS and similar platforms.> Data Engineering - data warehousing, data lake, data marts, data lakehouse, delta lake, ETL/ELT, data modeling, building data pipelines, data quality and governance.> Machine Learning Ops - Creating model training and experimentation data pipelines, refining prediction models and monitoring model decay and predictive quality. Testing - data validation, ML model testing, ML model integration testing.> Leading teams in AWS and Azure cross cloud infrastructure architecture setup and development in an IaaS, PaaS and SaaS.> Experience in design and development of micro-services using orchestration using Docker, Kubernetes and Amazon ECS.> Development of automation scripts in Terraform, Bash, Python, Powershell and AWS Cloud Formation, ARM templates; implementation of software in web environments. Past Experience:> Creating solution architecture and doing DevOps development on AWS and writing Terraform. Setting up a multi-tenant, scalable and highly available micro service setups catering to data science with software load balancing Used AWS IAM, S3, EC2, EKS(Elastic Kubernetes Service), ECS(Elastic Container Service), VPC, SUBNETS, SECURITY GROUPS, RDS, LAMBDA, GLUE, SAGEMAKER, KINESIS FIREHOSE, BEANSTALK, ELS and Simple Queue and ElastiCache Redis.> Experience in planning and creating software ecosystems using Microsoft Azure - Azure Service Fabric, Docker, Kubernetes and DC/OS orchestration in Azure Container Service, Azure Redis Cache (Azure Distributed Caching), Azure Messaging Queues, Azure/API Gateway SQL Azure, AWS Route 53, VM’s, SSO Identity Management on ADS, Azure Object Store, Azure Key Vault, Event Hubs with Consumer Groups, worker roles, Stream Analytics Job, Azure Data Lake, Azure SQL.