Rajendar K.
64% Job Success

Expert in Python(Django FastAPI Flask Da), Data and Devops engineer

=> 7+ Experience in Unix/Linux Administration, Configuration Management, Continuous Integration, Continuous Deployment, Release Management and Cloud Implementations. => Implemented reporting Data Warehouse with online transaction system data. Developed and maintained data warehouse for PSN project. =>Experienced in writing live Real-time Processing and core jobs using Spark Streaming with Kafka as a data pipe-line system. => Excellent understanding of Hadoop architecture and core components such as Name Node, Data Node, Resource Manager, Node Manager and other distributed components in the Hadoop platform. =>Good Experience with Streaming live data from various protocols like MQTT, ActiveMQ Kafka camel Connector , Kafka Connect, SFTP, FTP, Rest API with Kafka. Extensive Experience with writing Spark Job(in Python as well as in Scala) Provided reports and publications to Third Parties for Royalty payments. =>Extensive Experience with RDS(Aurora, PostgresQL, SQL) NOSQL(MongoDB, DynamoDB, Cassandra, HBase). =>Extensive Experience with Writing ETL Pipelines with Apache Airflow, Nifi, Apache Beam etc. =>Good Experience with Kylo, OLA (Presto, Druid, SparkSQL, Kylian), Data Warehouse (Snowflake, Teradata, Redshift) =>Worked on designing and deploying a multitude of applications utilizing almost all the main services of the AWS stack (like EC2, S3, RDS, VPC, IAM, ELB, EMR Cloud watch, Route 53, Lambda and Cloud Formation) focused on high availability, fault tolerance environment. =>Deploying laravel application on aws beanstalk. I have strong experience in these technologies:- =>Python,Scala,Java =>Ansible, Chef, Puppet. =>Kinesis, Glue, Athena, RedShift =>Docker, Kubernetes, vagrant =>CloudFormation, TeraForm =>SQL AuroraDB, PostgreSQL, Teradata =>NOSQL Dynamodb, HBASE, MongoDB =>Monitoring Tools: CloudWatch, Nagios =>app server: Tomcat =>Web server: Apache, Nginx, Gunicorn =>Db server: Mysql, MariaDB, PostgreSQL =>Lucene search library =>DynamoDB, Redshift, Athena, Glue. =>EC2, RDS, EBS, ELB, S3, VPC, IAM, QuickSight, DataPipeline =>AWS, GCP, Microsoft Azure, IBM Bluemix =>Kafka(native and confluent) =>Dataflow, data proc =>Aws Lambda Function =>object storage like S3(Aws) =>Spark =>ETL =>Cloudera,HortonWorks
Work history

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  • Azure App Service
  • Puppet
  • Azure DevOps
  • CI/CD
  • AWS CodeDeploy
  • Amazon ECS for Kubernetes
  • Terraform