PROFESSIONAL EXPERIENCE

• I have 4 years of comprehensive experience in the IT industry, 3 years as an AWS solutions architect .
• I have an in - depth knowledge on various AWS Services including EC2, VPC (NAT, Peering, VPN), IAM, EC2 Container service.
• Elastic Beanstalk, Lambda, S3, Cloud Front, Glacier, RDS, Dynamo, ElastiCache, Redshift, Direct Connect.
• Route 53, cloud watch, Cloud Formation, Cloud Trial, (EMR), SNS, SQS, SWF, Lambda, API Gateway.

PROFESSIONAL EXPERIENCE

Confidential

AWS ARCHITECT

Responsibilities:

• Created AWS S3 buckets, Managed cloud trail logs and objects within each bucket.
• Built and configured virtual data centre in AWS to support Enterprise Data.
• Configured KMS using IAM to provide encryption/decryption keys to secure Amazon S3, EBS and RDS.
• Involved in 24x7 support rotation for Production, Test and Development Databases.
• Maintained the networking from AWS cloud back to on premise connectivity and no direct internet access from AWS cloud VPC to the rest of the world (Internet).
• Worked with Custom AMI's, created AMI tags modified AMI permissions.
• Created Security Groups, configuring Inbound /Outbound rules, creating and importing Key Pairs.
• Created, configured, and ensured connection to RDS databases, Elasticache, Dynamo DB, Amazon Redshift databases and Neptune databases.
• Provision AWS resources using management console as well as Command Line Interface.
• Plan, build and configure network infrastructure within VPC with public and private subnets, configure routing tables, security group and internet gateway.
• Implement and maintain the monitoring and alerting of production and corporate servers/storage using Cloud Watch using Centralized Data Dog monitoring tools.
• Configured NACL, Security Groups and WAF to secure the application and VPC network depending on access parameters provided and conditions.
• Encrypted and managed both server-side encryption such as SSE S3, SSE C, SSE KMS and AWS Client encryption library, and client side encryption of S3 and databases in the cloud.
• Migrated databases and workloads from on premise servers to the cloud using tools such as AWS DMS, Schema conversion tool, AWS Migration Hub, Snow Ball, Snow Ball Edge and AWS server migration service.
• Created and managed IAM user accounts and role based policies for access to AWS services.
• Implemented and maintained monitors, alarms, and notifications for EC2 instances using Cloud Watch and SNS.
• Evaluated and improved existing AWS deployments.
• Performed S3 buckets creation, access policies, and archive outdated data to Glacier through Life Cycle Policy configuration.
• Launched databases via RDS to support web application functionality.
• Created low latency website using S3, Cloud Front, and Route53.
• Installed Apache and Nginx Web Server on EC2, (proxy server as needed).
• Created and managed users, permissions, directories and files in Linux environment.
• Set up Ansible environment for configuration management, Dynamo DB, Elastic cache and Lambda.
• Implemented compliance with CIS Benchmark on AWS environment.
• Enforcing company’s policies and procedures during design and implementation.
• Designed and deployed monitoring metrics, and logging systems on AWS environment. Application and system log analysis using Cloud watch, Cloud Trail, Data Dog, and Logic Monitor.
• Designed, developed and implemented high availability, backup and recovery strategy for applications and database.
• Hands-on experience and good knowledge of AWS services: EC2, S3, VPC Endpoints, VPC Private Link, VPC Peering, Transit VPC, Network Protocol, Subnetting (Private and Public), IPsec, VPN, Route53, ELB, Auto scaling, SQS, SNS, IAM, DynamoDB, Cloud Front, Cloud Formation, Cloud Watch, Cloud Trail, Storage Gateway, internet Gateway, Kinesis, Glue, code deploy and Guard duty.
• Created AWS organisations.
• Configured and used automated services such as code deploy, Redshift glue, Elastic beanstalk, and lambda.
• Performed migrations using tools like DMS, SCT and CDC.
• Performed the creation of VPC Peering and Flow logs on VPC for monitoring of built VPCs.
• Provided oracle database administration support for over 190 instances hosted in AWS Commercial cloud.
• Responsible for allocating, releasing, associating, and disassociating elastic IP addresses.
• Implemented Auto Scaling for scaling out to ensure availability and scalability of customer websites and applications.
• Migrated the production MySQL schema to the new AWS RDS Aurora instance.
• Troubleshoot various customer technical problems and adhere to best practices.
• Cost and performance monitoring of resources and applications using Aws Cloud Watch, including creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3, SNS and configured notifications for the alarms generated based on events defined.
• Performed uploads and migrated workload between S3, Glacier and snow ball using multipart upload and transfer acceleration.
• Created and configured Amazon direct connect and Placement groups.
• Good knowledge and experience using AWS Lambda for Server-less computing using Python and Java.
• Extensive experience in working with Apache Tomcat and IBM WebSphere application servers.
• Worked with NoSQL databases such as MongoDB and DynamoDB on AWS.
• Collaborated with application developers, Project Managers and QA analysts to ensure proper testing, configuration and deployment.

Confidential, AUSTIN TEXAS

AWS CLOUD ENGINEER

Responsibilities:

• Leverage AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts.
• Setup and configured VPC Private Link (Endpoints), Direct Connect, Transit VPC, VPC Peering, Reverse Proxy Caching, CDN, IPsec and VPN for secure data transfer, and secured connection to other AWS services and other AWS accounts.
• Used Network health monitoring tools (Cloud Watch, Logic Monitor)
• Created and configured Redshift clusters.
• Configured EMR Cluster, used Hive script to process the data stored in S3.
• Created Data-pipelines and configured EMR Cluster to offload the data to Redshift.
• Wrote some of the cron jobs to notify the administrator when SQS Queue size reaches certain limit.
• Build Amazon EC2 instances and assigned required firewalls using security group (SG) and Network Access Control List (NACL) rules.
• Focused on continuous integration and deployment, promoting Enterprise Solutions to target environments.
• Designed roles and groups using AWS Identity and Access Management (IAM).
• Responsible for bucket creation, user account creation, access permissions and privileges to users as well as policies and IAM role-based policies.
• Implement and maintain the monitoring and alerting of production and corporate servers/storage using Cloud Watch.
• Analysed logs and performed root cause analysis for various issues coming up on daily basis.
• Manage network security using Load balancer, Auto Scaling, Security groups and NACLS.
• Designed, configured and deployed Amazon Web Services (AWS) for applications utilizing the AWS stack (Including EC2, Route53, S3, RDS, Direct Connect, Cloud Formation, Cloud Watch, SQS, IAM), focusing on high-availability, fault tolerance, auto-scaling, load-balancing capacity monitoring and alerting.
• Cost and performance monitoring of resources and applications using Aws Cloud Watch, including creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3, SNS and configured notifications for the alarms generated based on events defined.
• Created monitors, alarms and notifications for EC2 hosts using Cloud Watch.
• Experience working with IAM in order to create new accounts, roles and groups.
• Experience in creating alarms and notifications for EC2 instances using Cloud Watch and I is very much Proactive.
• Experience involving configuring S3 versioning and lifecycle policies to and backup files and archive files in glacier.
• Utilize EBS to store persistent data and mitigate failure by using snapshots.
• Configured AWS Identity and Access Management (IAM) Groups and Users for improved login authentication.
• Experience in deploying and monitoring applications on various platforms using Elastic Beanstalk.
• Created an
• AWS RDS Aurora DB cluster and connected to the database through an Amazon RDS Aurora DB Instance using the Amazon RDS Console.
• Experience in Configuring an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources in the cloud.
• Experience in designing high availability applications on AWS across availability zones and availability regions.
• Experience in encryption in the cloud and on-premises servers.
• Experience in handling API requests using REST.
• Experience in implementing Apache Hadoop cluster using hdfs in a testing environment.

TECHNICAL SKILLS

Tools: AWS Snow Ball, AWS Data Migration Service, AWS Schema Conversion Tool, AWS Snow Ball Edge, Elastic Load Balancer, Remote Desktop Connection & PowerShell. RedHat Enterprise Linux (RHEL), Ubuntu

Cloud and Database Utilities: Networking Load balancers, TCP/IP, HTTP/HTTPS, SSH, SSL.

Cloud AWS EC2, VPC, EBS, AMI, SNS, RDS, ECS, EBS, CloudWatch, CloudFormation AWS Config, S3, Cloud Trail, IAM.

Languages: SQL, PL/SQL & UNIX Shell Scripting

Databases: RDS, DynamoDB, Amazon Redshift, Elasticache, Neptune,