Youssef
, Software
Engineer
π Remote, Worldwide
Copied
TMTIME Ltd
Full Stack Engineer
Hong Kong based
auction house aims to build a platform for their international customers.
β Define product's features.
β Design the software architecture to be implemented.
β Implement the building blocks of the architecture.
β Oversee a team of engineers: both π ππππππππππ and π πππ departments.
β Data engineering : code the pipelines, administer data operations (migration, replication, backup, recovery), code backend of the platform.
β Full Stack Engineering : code the features and solve the bugs.
β Define product's features.
β Design the software architecture to be implemented.
β Implement the building blocks of the architecture.
β Oversee a team of engineers: both π ππππππππππ and π πππ departments.
β Data engineering : code the pipelines, administer data operations (migration, replication, backup, recovery), code backend of the platform.
β Full Stack Engineering : code the features and solve the bugs.
NextJS
Tailwind
React
Python
Flask
PostgreSQL
Redis
CI/CD
AWS
Bookshelved
Full Stack Engineer
A California (US) based startup aims to build a social media for book lovers
worldwide, and needs to build the platform for hundreds of thousands of users.
β Implement UI designs (react, nextJS, tailwind)
β Develop server-side logic and API routes. (nextJS, flask)
β Code end-to-end features and troubleshoot issues.
β Scale the platform.
β Implement UI designs (react, nextJS, tailwind)
β Develop server-side logic and API routes. (nextJS, flask)
β Code end-to-end features and troubleshoot issues.
β Scale the platform.
NextJS
Tailwind
React
Python
Flask
PostgreSQL
Mysql
ElasticSearch
Redis
Scraping
CI/CD
AWS
Heroku
Bookshelved
Data Engineer
A California (US) based startup aims to build a social media for book lovers
worldwide, and needs a lot of books data.
β Installed & maintained a distributed database infrastructure (Mysql, PostgreSQL, Redis, ElasticSearch)
β Scraped 20 million book's metadata and content, ingested and indexed in a searchable ElasticSearch.
β Coded pipelines for synchronization, data replication and other critical operations (in Python)
β Design, code, and maintained a scalable recommendation algorithms based on user interest (in Python).
β Coded the platform's server side APIs (in Flask)
β Installed & maintained a distributed database infrastructure (Mysql, PostgreSQL, Redis, ElasticSearch)
β Scraped 20 million book's metadata and content, ingested and indexed in a searchable ElasticSearch.
β Coded pipelines for synchronization, data replication and other critical operations (in Python)
β Design, code, and maintained a scalable recommendation algorithms based on user interest (in Python).
β Coded the platform's server side APIs (in Flask)
Python
Flask
PostgreSQL
Mysql
ElasticSearch
Redis
Scraping
CI/CD
AWS
Heroku
IBM Partner
Data Engineer
Middleware Engineer
π΅πππππππ π»ππ π¨π
ππππππππππππ needs to migrate its
platform to a new
environment.
( reach ~ 20 million users )
β KVM/Qemu on Redhat Entreprise Server, over LinuxONE Mainframe
β IBM DB2 Purescale 11.5
β Oracle RAC 19c
β Oracle GoldenGate
β IBM Security Directory Suite
β IBM Websphere Application Server
β IBM Websphere Portal ( Digital experience )
( reach ~ 20 million users )
β KVM/Qemu on Redhat Entreprise Server, over LinuxONE Mainframe
β IBM DB2 Purescale 11.5
β Oracle RAC 19c
β Oracle GoldenGate
β IBM Security Directory Suite
β IBM Websphere Application Server
β IBM Websphere Portal ( Digital experience )
Redhat Linux
Virtualization
IBM DB2
Oracle Database
IBM Websphere Application Server
IBM Websphere Portal
IBM Partner
Middleware Engineer
πͺπππ
ππ π
π π΄ππππ bank aims to implement and migrate a secure
middleware
platform
( reach ~ 40 million users )
β IBM MQ implementation and configuration
β SSL Implementation of secure channels with remote clients.
( reach ~ 40 million users )
β IBM MQ implementation and configuration
β SSL Implementation of secure channels with remote clients.
IBM MQ
IBM Partner
Data Engineer
π΅πππππππ π»ππ π¨π
ππππππππππππ aims to design, implement,
and
migrate a High Availablity architecture for an analytics and business
intelligence platform.
( reach ~ 20 million users )
β IBM Cognos Analytics 11 ( High Availability configuration )
β IBM DB2 11.5 ( HADR configuration )
β IBM Infosphere Datastage 11.7
( reach ~ 20 million users )
β IBM Cognos Analytics 11 ( High Availability configuration )
β IBM DB2 11.5 ( HADR configuration )
β IBM Infosphere Datastage 11.7
IBM Cognos Analytics
IBM DB2
ETL
IBM Partner
Middleware Engineer
πͺππππππ πππ
πππ
πππππ πππππ ππ
ππππππππππππ
aims to design, implement,
and
migrate their main customs platform.
The components that were associated to my scope were:
( reach ~ 60 million users )
β IBM Wesbphere Application Server 9
β IBM Edge9
β IBM Security Directory Suite 8
The components that were associated to my scope were:
( reach ~ 60 million users )
β IBM Wesbphere Application Server 9
β IBM Edge9
β IBM Security Directory Suite 8
IBM Websphere Application Server
IBM Security Directory Suite
IBM Partner
Data Engineer
πΉππππ π¨ππ π΄ππππ airline aims to implement a new shared storage
platform, containing the following :
β IBM Spectrum Scale ( Protocol Node configuration using SMB protocol )
β Migration of 4 Tb of data, from and to a Spectrum Scale platform.
β IBM Spectrum Scale ( Protocol Node configuration using SMB protocol )
β Migration of 4 Tb of data, from and to a Spectrum Scale platform.
IBM Spectrum Scale
IBM Partner
Middleware Engineer
π©πππππ π·ππππππππ bank is making a major upgrade of its entire
corebanking system (which is done every 10 years).
My direct scope was design and implementation of a High Availablity architecture with a Disaster Recovery Site.
and the assistance of the deployment of Temenos T24 ( R18 ). Containing the following products :
β IBM WebSphere Application Server 9 ( High Availability configuration ), IBM HTTP Server 9 [ over 80 nodes ]
β IBM MQ 9 ( Multiple Multi-Instance Queue Manager configuration )
β IBM Spectrum Scale 5 ( with AFM-based Async Disaster Recovery on a distant site )
My direct scope was design and implementation of a High Availablity architecture with a Disaster Recovery Site.
and the assistance of the deployment of Temenos T24 ( R18 ). Containing the following products :
β IBM WebSphere Application Server 9 ( High Availability configuration ), IBM HTTP Server 9 [ over 80 nodes ]
β IBM MQ 9 ( Multiple Multi-Instance Queue Manager configuration )
β IBM Spectrum Scale 5 ( with AFM-based Async Disaster Recovery on a distant site )
IBM Websphere Application Server
IBM MQ
IBM Spectrum Scale
IBM Partner
Middleware Engineer
πΊπππππ πΊπππππππ π¨πππππ aims to implement a new monitoring
platform for over 2000 server & their operating systems (Linux, Windows Server,
AIX).
140 routers, 390 switches and network equipements, 13 VMWare Hypervisors.
30 Oracle Database, 15 Sybase, 8 SQL Server, 6 Mysql, 4 PostgreSQL.
40 Application Servers (Jboss, websphere, Tomcat, Apache), using the following stack:
β Elastic Search Database β IBM Application Performance Management 8.1.4 + IBM Tivoli Monitoring 6.3
β IBM Tivoli Network Manager IP Edition 4.2 + IBM Tivoli Netcool / OMNIbus 8.1
β IBM Jazz for Service Management 1.1, IBM TCR
β IBM Network Performace Insight 1.3
β IBM Cognos Reporting
β Bash scripting
140 routers, 390 switches and network equipements, 13 VMWare Hypervisors.
30 Oracle Database, 15 Sybase, 8 SQL Server, 6 Mysql, 4 PostgreSQL.
40 Application Servers (Jboss, websphere, Tomcat, Apache), using the following stack:
β Elastic Search Database β IBM Application Performance Management 8.1.4 + IBM Tivoli Monitoring 6.3
β IBM Tivoli Network Manager IP Edition 4.2 + IBM Tivoli Netcool / OMNIbus 8.1
β IBM Jazz for Service Management 1.1, IBM TCR
β IBM Network Performace Insight 1.3
β IBM Cognos Reporting
β Bash scripting