Asaad Hamid Email & Phone Number | Data Engineering enthusiast with rich experience of 11+ years across multiple Cloud platforms including AWS and Snowflake : - With expertise in designing, implementing, scaling and maintaining end to end data pipelines and processing systems. - Extensive experience in Analytics, ETL, Data Warehousing and Data Modelling techniques using AWS Services ,Snowflake Cloud and Pyspark. - Ability to design and manage cloud-based infrastructure to deliver required performance , security and availability requirements. - Assist and cater to multiple stakeholders with data requirements via automated,scalable, fault-tolerant and performant data pipelines. - Well versed with different data pipeline architectures like message-driven , event-driven(Synchronous/Asynchronous) , microservice based or lambda architecture.

Asaad Hamid

Data Engineering enthusiast with rich experience of 11+ years across multiple Cloud platforms includ...
Riyadh, Riyadh, Saudi Arabia

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Asaad Hamid’s Location Riyadh, Riyadh, Saudi Arabia

Asaad Hamid’s Current Industry S And P Global

Asaad Hamid’s Prior Industry Apps Associates | Oracle | Infosys

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Lead Data Engineer

2022-06-01 00:00:00 - Present

Senior Consultant

2021-03-01 00:00:00 - 2022-06-01 00:00:00

Senior Bi/Etl Consultant

2019-09-01 00:00:00 - 2021-03-01 00:00:00

Associate Business Analyst -Oracle Apps R12-Scm Functional Consultant

2012-09-01 00:00:00 - 2016-12-01 00:00:00

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Asaad Hamid is a Data Engineering enthusiast with rich experience of 11+ years across multiple Cloud platforms including AWS and Snowflake : - With expertise in designing, implementing, scaling and maintaining end to end data pipelines and processing systems. - Extensive experience in Analytics, ETL, Data Warehousing and Data Modelling techniques using AWS Services ,Snowflake Cloud and Pyspark. - Ability to design and manage cloud-based infrastructure to deliver required performance , security and availability requirements. - Assist and cater to multiple stakeholders with data requirements via automated,scalable, fault-tolerant and performant data pipelines. - Well versed with different data pipeline architectures like message-driven , event-driven(Synchronous/Asynchronous) , microservice based or lambda architecture.