- Automated the deployment via Ansible, Terraform, Packer
- Configured restricted security with NACL, Security Groups, MFA, IAM, NAT Gateway, KMS
- Established connections On-premise-VPC via Direct Connect & VPC-VPC via VPC peering
- Connected private instance to private S3 via VPC endpoint. Applied Bucket Policy, Versioning
- Set up Fault-tolerant via Application, Network Load Balancer with Auto Scaling group
- Monitored Network via VPC Flow logs, Custom CloudWatch metrics, widgets, SNS, SQS
- Managed multi-accounts across various departments via AWS Organizations, SCP
- Confluence, Powershell, Redhat, Centos, Apache, Tomcat, AWS Cli, Boto3
- Deployed containerized application via Docker to ECR. Used ECS, Fargate, EKS, KOPS
- Scheduling DynamoDB backups with Lambda & Cloudwatch
- Managed SSL with Certificate Manager. Migrated an on-premise SQL database to RDS via DMS
- Applied compliance auditing and governance via AWS Config, CloudTrail
- Established VPN connection from an on-premise data center to VPC via Virtual Private Gateway, Customer Gateway, OpenVPN and also via Client VPN Endpoint
- Ran resilience testing & deployed security path for a set of EC2 via System Manager
- Developed a mobile-based application that would make use of AWS resources via Cognito
- Handled real-time processing on a large amount of data via Kinesis (agent, stream, firehose)
- Queried data log directly in S3 via Athena, Glue. Transformed & moved data in&out of S3 via EMR
- Configured a SAML federation between AWS and the corporate Active Directory. Then mapped AD groups to IAM Roles to manage user permissions
- Performed Machine Learning & Artifical Intelligence, Random Forest & Image classifier with SageMaker, Jupyter, Numpy, Pandas (Dataframe), Matplotlib, Scikit-learn, TensorFlow
- Other AWS services: EFS, Redshift, Route53, WAF, API, Transit Gateway, Step Functions, CodeCommit, CloudFront, File Gateway, Storage Gateway, Personal Health Dashboard
- Automated deployment of Kafka Clusters via Ansible (vault); Handled incidents, Zookeeper
- Managed 6 engineers. Monitored architecture via SPLUNK / ELK. 40 TB /day of data. 400 servers
- Maintained Kafka cluster, transform, store data in HDFS & sent to Elasticsearch Cluster
- Provided optimal tunings (nb of partitions / executors / memory / microbatch interval of 10 sec.)
- Optimized data read requests by partitioning; Hive, Hue; Dataframe: Aggregate, Join - Hadoop
- Designed architectures with the concerns of Consistency, Availability, and Partitioning
- On-Premises Architecture with OpenStack, automated scaling using Kubernetes & Docker
- Built backend & frontend Websites / Web Services: Python, Java, Objective-C, Javascript, Flask
- Launched IOS apps