Moataz Anany
Solutions Architecture Leader, EdTech West Enterprise & MMN at Amazon Web Services (AWS)
Atlanta Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMoataz Anany is a solutions architecture leader with over 17 years of experience helping enterprises design hybrid and cloud-native systems, currently focused on EdTech at AWS in the Atlanta area. He brings deep hands-on expertise in data analytics and AWS services, translating complex technical options into practical, customer-facing strategies across pre-sales and delivery. Prior roles at Microsoft and IBM as an enterprise and senior IT architect underpin his ability to bridge business strategy and technical execution. A Copenhagen Business School MBA complements his engineering background, enabling him to shape commercially viable cloud solutions. He contributes to open-source AWS samples—work that includes backend and DevOps improvements to a real-time Rekognition video analyzer—showing a continued appetite for production-grade prototyping. Colleagues rely on him for pragmatic architectures that balance scalability, security, and operational simplicity.
10 years of coding experience
17 years of employment as a software developer
MBA General, MBA General at Copenhagen Business SchoolBachelor of Science Computer Engineering, Bachelor of Science Computer Engineering at Cairo University
Arabic, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
aws-s310
amazon-dynamodb10
boto10
dynamodb10
aws10
amazon-s310
python10
s3-bucket10
amazon-sns10
cicd9
serverless9
machine-learning8
docker6
dockers6
kubernetes-pods5
Programming languages (2)
Github contributions (3)
aws-samples/amazon-rekognition-video-analyzer
Jul 2017 - May 2020
A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:21 commits, 18 pushes, 41 comments in 2 years 10 months
Contributions summary:Moataz primarily focused on back-end infrastructure and deployment aspects within the project. They implemented a new command to delete data in S3 and DynamoDB, optimized SNS notifications, and added a feature for publishing watch list alerts via SNS. Additionally, they refactored the build process by upgrading to Python 3.7, updating IAM policies, and addressing a bug related to Rekognition's output. They also implemented support for batched deletion of DynamoDB items.
capturingdeep-learningobject-detectioncomputer-visionmjpeg
aws-samples/aws-etl-orchestrator
Jun 2018 - Dec 2019
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
Contributions:13 commits, 10 pushes, 5 comments in 1 year 6 months
serverlessaws-lambdaaws-step-functionsetl-frameworkstep-functions
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