Git
Mohamed Ragab
Data Engineer & Research Fellow (Post-Doctoral)
Southampton
Summary
Detail-oriented team player with extensive experience in distributed systems and processing large knowledge graphs. Specialized in data engineering, particularly in transitioning SPARQL to SQL workloads. Positioned to make significant contributions to graph analytics and database projects. Strong technical proficiency ensures precision and innovation in complex data environments.
Overview
11
11
years of professional experience
7
7
Certifications
3
3
Languages
Work History
Postdoctoral Research Fellow
Southampton University
02.2023 - Current
- Working on a research project for developing decentralized search capabilities on
personal online data-stores (pods) within the Solid framework. - We develop various (RDF)indexes, search algorithms, and query routing mechanisms for enabling the decentralized query system.
- Managed to develop a full automation pipeline for managing Solid services as well
as for the IBM GaianDB services on a cluster of 50 VMs.
Konwldge Engineeer
Southampton University (Uniworkforce)
06.2023 - 08.2023
- Integrated maritime data from various data sources (CSV, and XML, and JSON) into an unified knowledge graph. This allows getting a holistic view and clean single source of truth for querying maritime data.
Data Engineer
Tartu University
07.2022 - 01.2023
- Developed a CI/CD pipeline for building an API gateway for integrating various
explainable AI microservices (written in various languages Python and Java). - Skills: Kong API Gateway · Ansible · OpenAPI. Amazon EC2 · FastAPI · Githubactions.
Junior Research Fellow
Tartu University (Big Data Systems Group)
09.2018 - 01.2023
- Project 1: Managing big graph datasets over Apache Spark-SQL.Converted RDF graph data to relational schemas, employed varied partitioning techniques
on an HDFS cluster, and managed a Hive DataWarehouse for extensive querying. Skills: Spark-SQL, HDFS, Scala, SPARQL & RDF. Published 12 publications out of this research project. - Project 2: ”Minaret”; a tool recommendation for academic reviewers for scentific
journals.
Implemented Python web scraping to gather scientific scholars’ data from contemporary
academic platforms, and established scholar profiles within MongoDB. Skills: Django, MongoDB, Python Web-Scraping tools. Published 1 publications out of this research project.
Data Engineer
Ominva
03.2022 - 10.2022
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls.
- Automated 25 routine tasks using Python scripts, increasing team productivity and reducing manual errors.
- Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
Data Engineer & Researcher at SWRG Group
Semantic Web Research Group
09.2015 - 03.2018
- Worked on a project for managing trust over academic social networks, Building a
DWH that integrates data about scholars by querying several public academic APIs
and datasets. - Skills: MySQL, Python, SPARQL.
Web Developer
ITIS
09.2013 - 03.2015
- Coded websites using HTML, CSS, JavaScript, and jQuery languages.
- Worked on developing 3 healthcare website using ASP.NET and C#. Skills: SQL, C#.
- Determined coding requirements for specialized scripts
- Applied emerging technologies to update and maintain site applicability
Education
Ph.D. - Computer Science
Tartu University
Tartu, Estonia 04.2001 -
Master of Science - Information Systems
Cairo University
Cairo, Egypt 04.2001 -
Bachelor of Science - Information Systems (Excellent With Honors)
Fayoum University
Fayoum, Egypt 04.2001 -
Skills
Software
Systems (Linux and MacOS)
Docker
Apache Spark
Apache Kafka
HDFS
Apache Hive
Cloud (Azure, Amazon AWS)
Certification
IBM Data engineering Coursera Specialization.
Research experience
- QSMS: Query streaming management system, Database group at Liris Lab. Nov. 2021 – Feb.2022
I have been working on a project aims at taming the high velocity of SPARQL query workloads that requires a new paradigm of streaming applications. I managed to develop a query management system for SPARQL query workloads on top of simple RSP4J framework. - Bench-Ranking: Towards prescriptive analysis of big graph processing: the case of SparkSQL. Nov. 2019 – Sep. 2021
In this Project, we present a prescriptive analysis of the Apache Spark engine for processing large (RDF) graphs. I have managed to publish several (13) publications from this project in top tier conferences and journals (CACM, SWJ, IEEE Big Data, DOLAP, ISWC, SBD, and others). - Stream Bakery: Towards a Streaming Linked Data Life-Cycle. Jan. 2020 – May 2020
The project is Collaborative Research project between Tartu and Politecnico di Milano Universities. It describes in detail the resources and proposes a series of recipes for processing the published Linked Data streams. I have managed to process the data in Apache Spark-SQL, and we published this as a full paper in the ISWC 2021. - Minaret: A framework for Scientific Reviewers Recommendation. Jul. 2019 – Oct. 2019
I developed the MINARET framework, a recommendation framework that facilitates exploiting the available information.
on modern scholarly websites for identifying relevant candidate reviewers to the topic of the manuscript, excluding those with a potential conflict of interest, and ranks them based on several configurable metrics. I have published this work in EDBT 2019, Portugal.
Research interests & Publications
Big Data, Semantic Web, Graph Data Management. You can have a look at my publications in my Google Scholar (https://scholar.google.com/citations?user=DFVt7CYAAAAJ&hl=en).
Timeline
IBM Data engineering Coursera Specialization.
08-2023
Konwldge Engineeer
Southampton University (Uniworkforce)
06.2023 - 08.2023
Postdoctoral Research Fellow
Southampton University
02.2023 - Current
IBM Continuous Integration and Continuous Delivery (CI/CD) specialization
12-2022
Data Engineer
Tartu University
07.2022 - 01.2023
Big Data analytics with Apache Spark from Databricks academy.
04-2022
ETL and Data Pipelines with Shell, Airflow and Kafka
04-2022
Data Engineer
Ominva
03.2022 - 10.2022
ETL and Data Pipelines with Shell, Airflow and Kafka
03-2022
Microsoft Azure for Data Engineering
12-2021
Junior Research Fellow
Tartu University (Big Data Systems Group)
09.2018 - 01.2023
Data Engineer & Researcher at SWRG Group
Semantic Web Research Group
09.2015 - 03.2018
Web Developer
ITIS
09.2013 - 03.2015
ORACLE Database Administration Certificates.
08-2013
Ph.D. - Computer Science
Tartu University
04.2001 -
Master of Science - Information Systems
Cairo University
04.2001 -
Bachelor of Science - Information Systems (Excellent With Honors)
Fayoum University
04.2001 -
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