Pushkar Mishra

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.

• Terraform : https://registry.terraform.io/namespaces/pushkarmishrain
• Pushkar Mishra 3
• Working with AWS, AZURE & GOOGLE for architecting applications focused around data management,machine learning, AI and NLP, leveraging AWS, AZURE and GCP services around such technologies andorchestrating such application workflows on AWS
• Involved into cloud technologies to solve challenges associated with deployment of services andapplication that are transforming and enriching such large complex datasets using AWS Neptune,
• SageMaker, AZURE Machine Learning Studio
• Ellucian, Bangalore Sep’16 to Jan’20
• Designation: Senior Cloud Engineer
• Responsibilities:
• Involved in AWS Stack like EC2, Amazon EMR, Redshift, Beanstalk, Lambda, Amazon Athena, VPC, Route53, API Gateway, ELB, IAM, Cognito, SAML, AWS Config, SSM, CloudTrail and CloudFront
• Kafka cluster, Elastic Search
• Involved in Creating CI/CD pipeline using tools such as terraform, packer, Ansible, Jenkins, GIT, Bitbucket,
• GitLab CI/ CD, selenium
• Containers, Docker, Kubernetes
• Experience with monitoring development and administration – Datadog, NewRelic, AppDynamics
• Creating ELK Stack for logging
• Environment: AWS, EMR, REDSHIFT, Dynamo DB, Python, Perl/Shell scripting, Redshift, Kinesis and Analytics
• Project: Analytics Platform
• Responsibilities:
• Automated CD/CI in AWS
• Hadoop Data Lake, Data Cleaning, Finding insight on Data’s, Implement and automate the models in realtime applications
• Environment: Big Data Hadoop, Data Science, Docker, Kubernetes, EKS, Data lake, Micro Services, EKS with
• Terraform and Helm, Machine Learning, Hadoop, Python, Hive, Sqoop, Oozie, EMR, Spark, AWS Cloud, AWS
• DevOps, Jenkins, Artifactory, GIT
• Project: AWS – ServiceNow CMDB integration
• Responsibilities:
• Integrated AWS resources with Service Now for real time discovery using AWS Config, SNS, SQS, Lambda
• Function, Python, Terraform
• Environment: AWS Cloud, ServiceNow API, AWS Lambda, Python, SNS, SQS, EC2, S3, VPC, API Gateway, ELK, AWS
• DevOps
• British Telecom, Bangalore Dec’13 to Aug’16
• Designation: Consultant
• Description: BT provides IAAS for cloud contact centers
• Call details needs to be recorded and retrieved wheneverit is needed
• BackAmaze uses EC2, RDS, S3, ELB, and DynamoDB to store the information
• Responsibilities:
• Design, Development, Requirement Gathering and supporting AWS assets As a Senior Consultant involvedin the following