- Enthusiast Data Engineer with hands-on experience in Data Engineering, Big Data, and BI specialized in, Databases, Data Warehouse (DWH), Extract Transform Load (ETL), Data Recovery. Leverage all of them to provide data-driven solutions to help decision-makers
- Enthusiastic learner focused on Big Data, Data Engineering, and BI.
- Graduated from Computer Science & Artifactual Intelligence, and also graduated from ITI Data Engineering Track
- Highly skilled in Python, SQL, NoSQL, Hadoop, Spark, Bash Scripting, DWH, Data Lake, Informatica, Data Vault, Able to build and optimize data pipelines. I am well-equipped to tackle complex problems in data. My goal is to apply my skills and expertise to develop innovative solutions that make a positive impact on my work community. I'm constantly learning and exploring new technologies in this ever-evolving major and look forward to collaborating with others who share my passion.
-
FCIS & ITI Graduate
- Cairo, Egypt
-
17:21
(UTC -12:00) - in/omar-mahmoud-5bb616175
- @OmarMah25544092
Popular repositories Loading
-
Telecom-ETL-Using-SSIS
Telecom-ETL-Using-SSIS PublicData, resources, and tools, to help your business thrive. GSMA Services are here to enable companies and organizations within the telecoms ecosystem, to do business together more effectively. As we…
TSQL 5
-
Building-Sales-Data-Mart-Using-ETL-SSIS
Building-Sales-Data-Mart-Using-ETL-SSIS PublicBy using AdventureWorks2022 Dataset I have built a Sales Data Mart using (SQL Server Integration Services SSIS) SQL Server involves leveraging the capabilities of Integration Services (SSIS) and th…
TSQL 5
-
Amazon-Product-Scrapping-with-Selenium
Amazon-Product-Scrapping-with-Selenium PublicGather essential product data from Amazon with ease using this Python web scraper and Selenium. Extract product descriptions, prices, ratings, and more for insightful market research and analysis.c…
Jupyter Notebook 5
-
Gravity-Books-Sales-End-to-End-Project
Gravity-Books-Sales-End-to-End-Project PublicThis project encompasses the complete data lifecycle, from data extraction and transformation to in-depth analysis and compelling visualizations. The process is divided into three main phases
-
Translator
Translator PublicAutomatic language recognition and its ability to translate into any language
-
Singularity-Data-Analysis
Singularity-Data-Analysis PublicIn this repository I will take you on a comprehensive tour of Data Analysis track
Jupyter Notebook 3
If the problem persists, check the GitHub status page or contact support.