
Senior IT professional with experience in all phases of SDLC. Around 13 years in AWS Cloud and 10 years+ Experience in trending technologies such as AWS, Azure Cloud, Hadoop, HDFS, Big Data, EMR, Kafka, ELK, DevOps, CI/CD, Docker, Containers, ECS, FARGATE, Kubernetes, EKS, API Gateway, AWS Neptune, SageMaker, KNIME, Azure Machine Learning Studio, and Data Science. Experience in implementing best practices for availability, scalability, and security in public cloud Expertise in design, Development, deployment of highly available and highly scalable and Secure Applications.
Cloud / Solution / Enterprise Architect
Big Data Systems: HDFS, Map Reduce, Hadoop, Hive, Pig, Flume, Sqoop, Scala, Spark
Analytics/ ETL: Machine Learning, AWS ML, Python, Redshift
Cloud: AWS, Microsoft Azure
No SQL: HBase, DynamoDB, MongoDB
Operating Systems: Red Hat Linux, Windows
Software Languages: Shell Scripting, Java, PERL, NodeJS, JavaScript, PHP, Python, TCL
RDBMS: Oracle, MS-SQL, My SQL
Case Tools: Remedy, Maven, Ant, ClearCase, SVN, GIT
Middleware’s: WebLogic Server, Tomcat/Apache Server, IIS, Web services
Tools/ Utilities: Terraform, Terragrunt, Ansible, Packer, Chef, CloudFormation
Cloud tiered Data storage systemA system comprises a data system interface, a database system and a data object storage interfaceThe data system interface receives a request issued by a requester to retrieve content data from theDatabase system; forwards the request to the database system; receives in response, non-contentPatentsgooglecom/patent/WO2018001748A1/enDesign and development of highly available and scalable applicationCreating low level designsInteracting with the customersDesigning highly available and scalable applicationMaintain AWS Resources, EC2, S3, VPC, ELBEnglish
French
Hindi