Amr Arous, Developer in Dubai, United Arab Emirates
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Amr Arous

Bio

Amr is an accomplished professional with over 14 years of expertise in data management, data strategy, data modeling and architecture, and data governance across different industries such as telecommunication, banking, and the public sector. He's recognized as a data expert with a proven track record in delivering mega projects, overseeing end-to-end data lifecycles, and optimizing data architectures for scalability and performance to drive business growth.

Portfolio

Commonwealth Financial Network
SQL, Data Warehousing, Requirements, Business Rules, Data Analytics...
IBM
Data Architecture, Cognos Analytics 11, IBM InfoSphere (DataStage)...
Teradata
SQL, Informatica, Teradata, Erwin, Apache Hive, Apache Sqoop, HDFS...

Experience

  • SQL - 15 years
  • Business Intelligence (BI) - 13 years
  • ETL Implementation & Design - 12 years
  • Oracle PL/SQL - 10 years
  • Data Modeling - 10 years
  • Erwin - 6 years
  • Data Visualization - 5 years
  • Tableau - 2 years

Preferred Environment

Data Modeling, Business Intelligence (BI), ETL, Snowflake, Data Architecture, Python, Azure Data Factory (ADF), Data Governance, Azure, Databricks

The most amazing...

...and challenging thing I developed was a data migration project for 20 source systems into one big data solution through well-defined, integrated data pipelines.

Work Experience

Lead Data Engineer

2021 - 2025
Commonwealth Financial Network
  • Worked on a data migration project from the legacy Microsoft SQL Server system to Azure and Snowflake. Key accomplishments include successfully extracting, transforming, and loading terabytes of data into the target cloud platforms.
  • Used technologies such as Azure Data Factory and Snowflake (Snowpipe). Seamless data pipelines handle 500+ ETLs in five workflows.
  • Completed the project within the timeframe and budget. Data volume emphasizes the scale of the migration (terabytes), and data quality highlights the focus on data integrity and accuracy.
Technologies: SQL, Data Warehousing, Requirements, Business Rules, Data Analytics, Data Warehouse Design, Python, SQL Server Integration Services (SSIS), Snowflake, Azure Data Factory (ADF), Reltio, Profisse, Azure Data Lake, ETL Implementation & Design, Data Pipelines, ETL Development, Databricks, Azure Databricks, Data Integration, Reports, Delta Live Tables (DLT), API Integration, Dashboards, Data Cleansing, AWS Glue, Finance, Relational Databases, Amazon RDS, Data Architecture, Change Data Capture, Microsoft Fabric, Azure Synapse, Azure, Database Schema Design, Star Schema, Power BI Desktop, PL/SQL, ETL Pipelines, Data Orchestration, Artificial Intelligence (AI), AI Pipeline, Financial Data Analytics, System Architecture, Azure SQL Data Warehouse, Azure Service Fabric, Database Architecture, APIs, Data Build Tool (dbt), Analytics, Data Lakehouse, Data Quality, Technical Leadership, Data Warehouse Implementation, Claude, Model Context Protocol (MCP), Data Mesh, Microsoft Azure, Automation, Google Cloud, Data Migration, Google Cloud SQL, Database Backups, Terraform

Data Architect

2019 - 2024
IBM
  • Translated requirements and generated and developed a roadmap utilizing the best practices for the project with comprehensive and obtainable milestones.
  • Developed and deployed dashboards, visualizations, and autonomous and dynamic reporting interfaces to be distributed to stakeholders via the BI reporting platform.
  • Optimized report distribution, execution, and scalability of all reporting solutions so they are autonomous and dynamic.
  • Worked with the data team to create conceptual, logical, and physical database design, data modeling, and mapping.
Technologies: Data Architecture, Cognos Analytics 11, IBM InfoSphere (DataStage), IBM InfoSphere Data Governance, Snowflake, Big Data, HDFS, Apache Hive, Apache Spark, Apache Impala, Apache Sqoop, Apache Kafka, Azure SQL, Azure Data Lake, Azure Data Factory (ADF), IBM InfoSphere Information Governance Catalog, Data Modeling, Data Marts, ELT, Git, SQL, Python, Data Engineering, Data Analytics, Tableau, Microsoft Power BI, Linux, ETL Implementation & Design, Data Visualization, Data Pipelines, Data Virtualization, IBM Db2, Data Integration, Reports, Data Cleansing, PySpark, Apache, Databases, Finance, Relational Databases, Change Data Capture, Big Data Architecture, Database Schema Design, Star Schema, Oracle, Power BI Desktop, ETL Pipelines, Data Orchestration, Artificial Intelligence (AI), AI Pipeline, Financial Data Analytics, System Architecture, Azure SQL Data Warehouse, Azure Service Fabric, Database Architecture, APIs, Reporting, Analytics, Data Quality, Technical Leadership, Data Warehouse Implementation, Data Mesh, Microsoft Azure, Automation, Data Migration, Database Backups

Data Modeler | Data Architect

2017 - 2019
Teradata
  • Interacted with business analysts and end-users to understand and translate business needs into data models supporting long-term solutions.
  • Created conceptual, logical, and physical data models using best practices to ensure high data quality and reduced redundancy using Erwin.
  • Created a standard abbreviation document for logical, physical, and dimensional data models.
  • Reversed engineered physical data models from databases and SQL scripts.
Technologies: SQL, Informatica, Teradata, Erwin, Apache Hive, Apache Sqoop, HDFS, Microsoft Power BI, Data Modeling, Financial Services, Data Marts, Snowflake, Amazon Web Services (AWS), ELT, Git, Python, Data Engineering, Data Analytics, Tableau, Linux, Oracle SQL Data Modeler, ETL Implementation & Design, Data Visualization, Data Pipelines, Data Virtualization, ETL Development, Data Integration, Reports, API Integration, Dashboards, Data Cleansing, Databases, Finance, Relational Databases, Data Architecture, Change Data Capture, Big Data Architecture, Database Schema Design, Data Vault 2.0, Star Schema, Oracle, PL/SQL, ETL Pipelines, Data Orchestration, Microsoft Excel, Financial Data Analytics, System Architecture, Database Architecture, APIs, Reporting, Analytics, Data Lakehouse, Data Quality, Technical Leadership, Data Warehouse Implementation, Data Migration, Database Backups

Senior Business Intelligence Analyst

2016 - 2017
Vodafone
  • Delivered daily and weekly ad-hoc reports with speed and high quality.
  • Designed and developed dashboards to monitor major KPIs on an hourly, daily, weekly, and monthly basis.
  • Led coached and influenced other team members.
  • Participated in the financial monthly and yearly closings.
  • Built user interactive universes and reports to enable self-driven BI for customers.
  • Implemented company policies, technical procedures, and standards for preserving the integrity and security of data, reports, and access.
  • Designed strategic plans for component development practices to support future projects.
Technologies: Tableau, SAP BusinessObjects (BO), Oracle ODI, Oracle PL/SQL, IBM InfoSphere (DataStage), Oracle GoldenGate, Oracle SQL Developer, ELT, Git, SQL, Data Engineering, Data Analytics, Linux, Oracle SQL Data Modeler, ETL Implementation & Design, Data Pipelines, Data Integration, Microsoft Power BI, Reports, Dashboards, Data Cleansing, Databases, Relational Databases, Data Architecture, Neo4j, Change Data Capture, Database Schema Design, Star Schema, Oracle, Oracle BI, PL/SQL, ETL Pipelines, Data Orchestration, Microsoft Excel, Database Architecture, APIs, Reporting, Data Lakehouse, Data Quality, Data Warehouse Implementation, Data Migration, Database Backups

ETL Specialist | ETL Team Lead | Data Modeler

2012 - 2016
Data Gear
  • Designed, implemented, and operated comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
  • Developed data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Created and implemented metadata processes and frameworks.
  • Created plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
  • Created supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
  • Designed and implemented warehouse database structures.
  • Developed and implemented data extraction procedures from other systems, such as CRM, billing, and CDRs.
Technologies: DI, SAS, SAP BusinessObjects (BO), Oracle Business Intelligence Enterprise Edition 11g (OBIEE), Oracle PL/SQL, Oracle ODI, SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SAS SQL, SAS Visual Analytics, SAS 9.3, erwin Data Modeler, Data Modeling, ETL Tools, ELT, SQL, Data Engineering, Data Analytics, Linux, Oracle SQL Data Modeler, ETL Implementation & Design, Data Pipelines, ETL Development, Data Integration, Reports, Dashboards, Databases, Finance, Relational Databases, Data Architecture, Database Schema Design, Star Schema, Oracle, Oracle BI, PL/SQL, ETL Pipelines, Data Orchestration, Microsoft Excel, Database Architecture, APIs, Data Warehouse Implementation, Database Backups

Web Developer

2011 - 2012
Eknowledge
  • Created website layout and user interfaces by using standard HTML and CSS practices.
  • Integrated data from various back-end services and databases.
  • Gathered and refined specifications and requirements based on technical needs.
  • Wrote well-designed, testable, efficient code using best software development practices.
  • Created web models or prototypes that include physical, interface, logical, or data models.
Technologies: ASP.NET, JavaScript, LINQ, C#, Microsoft SQL Server, Visual Studio, SQL, Linux, Databases, Relational Databases, Neo4j, Oracle

Experience

Data Integration of Ericsson-IN to Oracle Communication Data Model

Revamped the current data warehouse from Teradata to Oracle using Oracle Communication Data Model (OCDM).

The scope of integrating Ericsson-IN with OCDM is feeding and integrating Ericsson-IN as a source of calls, recharges, and subscriptions transactions CDRs with OCDM.

Technologies: Oracle PL/SQL, Oracle ODI, Oracle OBIEE, Erwin, SAP BO

Teradata Reports Migration to Oracle Business Intelligence Enterprise Edition 11g

Validated and fixed running transformation from data sources (TAPS, InterConnect, MSC, etc.) through staging, and data warehouse models, aggregate layers, and reporting layer.

Technologies: Oracle PL/SQL, Oracle ODI, Oracle OBIEE, Erwin, SAP BO

GID Case Management Solution

Integrated various GID different systems into Case management system to be centralized in one system. SAS Base and SAS DI are used for accomplishing the target integration.

School Management System

Web-based, fully parameterized solution to the school management system. It controls all the activities in the school.

Technologies: ASP.NET 3.5, Microsoft Visual Basic .NET,
LINQ, Microsoft Visual Studio 2010, Microsoft SQL Server 2008 R2

Telecommunication Business Intelligence Project

Bravo is migrating from the legacy CBOSS billing system to a new BSS from Huawei. Bravo's business users and management need continuity of reporting and business intelligence to support the visibility into the operations of Bravo business. In order to do so, Bravo embarked on a project to build a new BI system including new data warehouse that will be able to deliver the new requirements by integrating to multiple sources of data, including the Huawei data sources.

Technologies: Microsoft SQL server 2014, SSIS, SSAS, SSRS, CDC, Erwin

Education

2016 - 2017

Diploma in Big Data and Data Science

Nile University - Egypt

2005 - 2009

Bachelor's Degree in Computer Engineering

Ain Shams University - Egypt

Skills

Libraries/APIs

PySpark, LINQ

Tools

Microsoft Power BI, Tableau, Erwin, Git, AWS Glue, Microsoft Excel, Oracle Business Intelligence Enterprise Edition 11g (OBIEE), Visual Studio, Cognos Analytics 11, Oracle SQL Data Modeler, Kafka Streams, Apache, Power BI Desktop, Claude, Terraform, Apache Sqoop, IBM InfoSphere (DataStage), Apache Impala, Oracle GoldenGate, SAS 9.3

Languages

SQL, Python, SAS, Transact-SQL (T-SQL), Snowflake, JavaScript, C#, Scala

Frameworks

Data Lakehouse, Hadoop, Spark, Delta Live Tables (DLT), ASP.NET, Apache Spark

Paradigms

ETL, Business Intelligence (BI), ETL Implementation & Design, Oracle ODI, Agile, Model Context Protocol (MCP), Automation

Platforms

Windows, Azure, Oracle, Azure SQL Data Warehouse, Azure Service Fabric, Linux, Apache Kafka, Amazon Web Services (AWS), Databricks, Microsoft Fabric, Azure Synapse, Reltio

Storage

Data Pipelines, Microsoft SQL Server, Oracle PL/SQL, Database Modeling, Databases, Data Integration, Relational Databases, PL/SQL, Database Architecture, Google Cloud SQL, Teradata, PostgreSQL, SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), Apache Hive, HBase, MySQL, IBM Db2, Google Cloud, Database Backups, HDFS, Azure SQL, Oracle SQL Developer, SAS SQL, Neo4j

Other

Data Architecture, Informatica, Data Warehousing, Data Engineering, Data, Data Warehouse Design, ETL Development, Data Modeling, SAP BusinessObjects (BO), ETL Tools, Business Intelligence Architecture, Data Analysis, Architecture, Reports, Dashboards, Finance, Change Data Capture, Database Schema Design, Star Schema, ETL Pipelines, Data Orchestration, Financial Data Analytics, System Architecture, Data Warehouse Implementation, Data Mesh, Data Migration, Data Virtualization, Data Visualization, Business Analysis, Azure Data Factory (ADF), Big Data, Data Governance, Data Analytics, ELT, API Integration, Data Cleansing, Amazon RDS, Big Data Architecture, Data Vault 2.0, Oracle BI, APIs, Data Build Tool (dbt), Reporting, Analytics, Data Quality, Technical Leadership, Microsoft Azure, DI, Azure Data Lake, Data Marts, IBM InfoSphere Data Governance, IBM InfoSphere Information Governance Catalog, SAS Visual Analytics, erwin Data Modeler, Financial Services, Requirements, Business Rules, Profisse, Azure Databricks, Artificial Intelligence (AI), AI Pipeline

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