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johnmousa/README.md

John Mousa

Engineer at heart, enabling enterprise customers in DACH and world wide bridge the worlds of microservices and analytics as a Sr. Solutions Architect at Amazon Web Services.

About me

Having more than 15 years of extensive experience in wide range of solutions and industries enabled me to accumulation of a vast array of expertise that include complex systems architecture and development, business process development and technical process alignment. I’m an Engineer at heart, started with web solutions, social media, then moved to enterprise SOA integrations, and microservices, before landing on data driven insights and analytics in multiple industries ranging from startups, non-governmental organizations, largest telecommunication operators, leading entertainment providers in Europe and the largest cloud provider in the World. During my career I assumed multiple technical, strategic and leadership roles and elevated it by becoming a thought leader in the area of architecture and data analytics and insights.

Engineer at heart, currently I’m bridging the realms of service development and integration with Analytics and machine learning.

I strive to be stress-less for people working with me.

Blogs

Slides for talks

Checkout slides for my talks here

Get in touch

Feel free to get in touch on any the following

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  1. aws-samples/amazon-kinesis-timestream-grafana aws-samples/amazon-kinesis-timestream-grafana Public

    Sample serverless application that reads events from Amazon Kinesis Data Streams and batches records to Amazon Timestream via Apache Flink app, visualizing results via Grafana.

    Python 28 7

  2. webauthn-with-amazon-cognito webauthn-with-amazon-cognito Public

    Forked from aws-samples/webauthn-with-amazon-cognito

    Demo application for FIDO-based authentication and WebAuthn with Amazon Cognito

    JavaScript

  3. aws-quickstart/quickstart-aws-utility-meter-data-analytics-platform aws-quickstart/quickstart-aws-utility-meter-data-analytics-platform Public archive

    AWS Quick Start Team

    Jupyter Notebook 23 20

  4. aws-samples/amazon-cloudwatch-monitoring-for-couchbase aws-samples/amazon-cloudwatch-monitoring-for-couchbase Public

    Leverage AWS services to create cost-effective serverless architectures to enable monitoring of Couchbase clusters using Amazon CloudWatch.

    Python 1 4