Muataz Bellah Kanjo

Technical field:
Java, Spring framework, MSSQL, JDBC, Hadoop, Linux Scripts, ControlM, OpenShift, Jenkins, Camunda, Docker, Kubernetes, Terraform, Git, Jira, Google Cloud Pub/Sub, Google Cloud
BigQuery, Google Cloud Storage, Google Cloud Build, Google Cloud Dataflow.

Projects:
Data Lake Migration:
Coordination with business units regarding scheduler requirements, data volumes, pre-processing, etc.
Migrating the data paths from on-premise (Hadoop) to the cloud (Google Cloud Platform)
Development of Linux scripts for the pre-processing of the data
Extending an existing Integrations-Framework to process different types of data:
Implementation of new functionalities based on JSON configuration input rules to process different data sources (e.g. REST API, SQL, Google Cloud Pub/Sub, GCS, SMB, ...)
Extending an existing framework to provide and store enterprise relevant information:
Implementing new functionalities to migrate data from Web API to Google Cloud Pub/Sub.
Processing of different data types such as JSON, input streams, ...

Coordination with business units regarding scheduler requirements, data volumes, pre-processing, etc.
Migrating the data paths from on-premise (Hadoop) to the cloud (Google Cloud Platform)
Development of Linux scripts for the pre-processing of the data
Extending an existing Integrations-Framework to process different types of data
Implementation of new functionalities based on JSON configuration input rules to process different data sources (e.g. REST API, SQL, Google Cloud Pub/Sub, GCS, SMB, ...)
Extending an existing framework to provide and store enterprise relevant information
Implementing new functionalities to migrate data from Web API to Google Cloud Pub/Sub.
Processing of different data types such as JSON, input streams, ...

Technical field:
Java, Java Script, HTML, CSS, node, Angular, slf4j, Lombok, Hibernate, SendGrid, Spring Framework, MySQL, fasterxml.jackson, JAXB, Chrome extension (crx), UIPath, Cloud Picker, iText, html2pdf, jcraft.jsch, Tableau Desktop/Server, Grafana, simplifier.io, scitis.io portal, jupyter, Google APIs( Gmail API, Drive API, Calendar API), Google App Engine, Cloud Storage, Google Data Store, Cloud SQL, Cloud Memorystore (redis), Cloud Function, Google BigQuery, Google Cloud Compute, Google Dataflow, Google Data Fusion, Google Data Studio, Google DataProc, Google DataPrep, Google DataLab, Google BigQueryML, Google Cloud ML, TensorFlow, App Script, Cloud Endpoint / APIs, Hadoop-Techniken (Hadoop, HDFS, YARN, MapReduce, Pig, Hive, Spark). Asana, Mantis BT, SVN, Git, GitLab, ungit, maven, bower, grunt, Sonarlint.

Projects:
Tableau Dashboards:
Daily and Action Reports for all Burger King Restaurants - Tableau Support, update, cron jobs.
Google App Engine Web Application:
Burger King Web Application for All Restaurants, Baybacks, and Admination Tools (Invoicing / Datev Billing History, Data Maintenance, Sales and Incentive Management, reports).
CCI Platform Development:
End2End connecting machines to GCP, building architecture from data ingestion to data pipelines which saved in different data cloud warehouses , then monitoring and analytics will be built on top of this data.
LDAP Provisioning:
Synchronize the creation, updating, blocking, and deleting of user entries (and organizational structures) in the Google Apps users directory.
Gmail To Google Drive:
The "GmailToDrive" App allows the user to permanently store emails (and attachments) on his Google Drive.
Hangout Links on iOS:
This app allows hangout links to be included in the description of appointments and therefore easier access for iOS users.
Google Drive Ownership Migration:
This app takes the data from the technical user who has all the users files and migrates to both Users and Team Drive.
Google BigQuery Importing Tools: From JSON, From XML, From CSV
Google Cloud SQL Importing/Exporting Tools: (Burgerware Importing, BKD Anbinding, Arrival DataenBank, BKD Store Master Data Export)
iSrv(Intelligent Service System): The goal of the research project iSrv is to develop a cross-company, intelligent service system for the manufacturing industry. Using and researching cloud AI modules as the basis for adaptive cloud-based data analysis services.

Tableau support, update, cron jobs for daily and action reports for all Burger King restaurants.
Developed a Google App Engine web application for Burger King restaurants, Baybacks, invoicing, Datev billing history, data administration tools, maintenance, sales and incentive management, and reports.
End-to-end connecting machines to GCP and building architecture from data ingestion to data pipelines.
Monitoring and analytics built on top of data cloud warehouses.
Synchronize the creation, updating, blocking, and deleting of user entries and organizational structures in the Google Apps users directory.
The "GmailToDrive" app allows the user to permanently store emails and attachments on Google Drive.
Included hangout links in the description of appointments for easier access for iOS users.
Migrated data from a technical user to Users and Team Drive.
Imported transformed TLOG JSON files to BigQuery.
Imported Finance & Banking XML data to BigQuery.
Cyclically exported CSV files from Google Cloud Storage to Google BigQuery with Google Dataflow.
Imported data from the burgerware DB via the HTTP REST API in JSON format into the BKD master DB.
Set up another database in Google Cloud SQL that contains an image of the ArrivalDB data.
Cyclically exported store master data from the BKD Connect master database from Cloud SQL to Payback's SFTP Server.
Developed a cross-company intelligent service system for the manufacturing industry using cloud AI modules for adaptive cloud-based data analysis services.

Removal of Salt and Pepper Noise Using Selective Extrapolation.
Modulated the FSE algorithm to remove salt and pepper noise from images and videos.
Compared the results of the FSE algorithm with other existing procedures.

Matlab GUI programming.
Designed and created an interface for a code responsible for analyzing the spectrum effect from falling laser beams on small particles.
Connected the different interfaces together and with the code.

Developed Next Steps in Signaling (NSIS) protocol authentication and authorization to the original protocol code.
Served as Lab Supervisor for the Internet Lab for programming and handling network devices such as routers, switches, hubs and bridges.