Uttej Grandhi — Data Engineer

Skills: Cloud Technology: AWS, Data Bricks. Operating System: Linux I Windows Infra as Code: Terraform DevOps Stack: Ansible l Jenkins | GitHub I Maven Observability : CloudWatch I Prometheus Atlassian Tools: JIRA Languages: Python Roles and Responsibilities : •Working with Amazon Web Services ( VPC, Private & public subnet, VPC Components,EC2, ALB, Route53, S3, RDS & DynamoDB etc.) •Handling Various types of Data Issues in Cloudera migrating to Cloud. •Working in AWS cloud Platform in IT services using DevOps tools such as Github Experience on Branching and Merging, maintaining Branching strategy using Software. •Created and worked on Sqoop jobs with incremental load to populate Hive External tables. •Experience working with Hive in production environments and implementing performance monitoring and alerting systems to detect and resolve performance issues proactively. •Skilled in integrating Hive tables with other big data technologies, such as Hadoop. •Database experience in SQL Server and MySQL. •Involved in creating Hive tables, data loading and writing hive queries •Attaching SNS topic with other services. •Good experience in deploying Linux and Windows servers. •Good practical knowledge in the creation of EBS volumes, attaching EBS volumes. •Good knowledge of IP addressing, CIDR notations, and subnetting. •Creation of new VPC, internet gateway, and Public/Private subnet and creating routes using route tables. •Establishment of peering connections for VPC. •Creation and configuration of S3 Bucket & bucket policies. •Knowledge in installing, configuring, and using Hadoop ecosystem components like HDFS, Hive, Sqoop, and Spark.

Stackforce AI infers this person is a Cloud Data Engineer with expertise in AWS and DevOps for enterprise solutions.

Location: East Godavari, Andhra Pradesh, India

Experience: 4 yrs 6 mos