Mohamed Abdelrahman

Owned end-to-end delivery of data projects from business analysis to reporting * Translated business requirements into scalable data pipelines and reporting solutions * Designed ETL workflows using Informatica PowerCenter * Modeled data using Data Vault (Raw Vault & Business Vault) * Automated regulatory reporting workflows, reducing reporting cycle from ~2 weeks to 1 day * Performed fraud analysis to detect suspicious patterns and fake user data * Built reporting layers and dashboards using SAP BusinessObjects * Resolved data issues and improved data accuracy across systems

After completing a comprehensive data engineering and big data master class at sprints, I've gained a deep understanding of the following key aspects: Technical Proficiency: Acquired expertise in core data engineering tools, including Apache Hadoop, Apache Spark, and the Azure ecosystem. Proficient in designing, building, and maintaining data pipelines to ensure efficient data processing. Data Warehousing: Mastery of data warehousing solutions,Capable of designing and optimizing data warehouses for high-speed querying, crucial for business intelligence and analytics. Databricks Mastery: Proficiency in leveraging Databricks for various data-related tasks, such as data processing, ETL operations, and machine learning model development. Utilized Databricks in combination with Apache Spark for accelerated data-driven insights. Azure Ecosystem: Experienced in working with various components of the Azure ecosystem, including Azure Data Lake, Azure Databricks, and Azure Data Factory, for seamless integration and processing of big data workloads. Data Modeling: Proficiency in data modeling, is an essential aspect of designing and maintaining robust data architectures.

Double Major Graduate (Mathematical Statistics and computer science), My studies were Focused as Follows: • Theoretical and Applied Statistics , Statistical Distributions, Linear algebra Game Theory,Probability,Regression, Estimation. • Computer Science Fundamentals, C++ , DBMS, Algorithms, Data structure, Networks, cryptology. • Introduction To Ai , image Processing , Data mining . • Spss ,Minitab,Excel

Accomplished the Udacity Nanodegree Data Analysis Advanced Nanodegree - by ( itida - Fwd initiative): - • SQL, Data Pipeline, Datawarehouse. • Practical Statistics, Introduction To ML, Regression, and A/B Testing analysis for a web app new Design Release. • data visualization (Using Tableau): fulfilled a responsive Dashboard and analytic Story by Tableau on the Us YouTube Data as a Final Project.

Accomplished the Udacity Data analysis professional track - By ( itida - Fwd initiative ) applying Tasks and Completing 2 Data Sets Projects on The Following Topics : - Python Fundamentals - Data Cleaning (Python -Pandas ) - Data Analysis (Insights - Charts - Conclusion )