Moataz Anany

Solutions Architecture Leader, EdTech West Enterprise & MMN at Amazon Web Services (AWS)

Atlanta Metropolitan Area United States
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Summary

👤
Senior
🎓
Top School
Moataz 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.
code10 years of coding experience
job17 years of employment as a software developer
bookMaster of Business Administration, Master of Business Administration at Copenhagen Business School
bookBachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at Cairo University
languagesArabic, English, French
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Github Skills (16)

amazon-dynamodb10
aws-s310
boto10
dynamodb10
aws10
amazon-s310
python10
s3-bucket10
amazon-sns10
cicd9
serverless9
machine-learning8
docker6
dockers6
kubernetes-pods5

Programming languages (2)

JavaScriptPython

Github contributions (3)

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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:
userBack-end & DevOps Engineer
Contributions: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.
deep-learningmjpegvideovideo-processingpython
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
aws-lambdaaws-step-functionsetllambdaserverless
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