Mahmoud Ihmedan
Data Engineer
Highest degree :
Bachelors
Field of study :
Computer Science
Location :
jordan
Citizenships :
Jordanian
Experience :
10 Year(s)
Countries :
Jordan
Gender :
Male
Sectors :
Data Engineer
Data Engineer with deep experience building, operating, and optimizing enterprise data platforms and ETL/ELT pipelines in telecom environments. Currently supporting Microsoft customers across Azure Synapse, Azure Data Explorer (ADX), Microsoft Fabric, Azure Data Factory, and Power BI—specializing in performance optimization, complex escalations, and cross-team collaboration. Mahmoud Ihmidan CV (1) Previously led data warehouse operations at Umniah Telecom, designing scalable incremental ETL/ELT, automating large-scale processes with PowerShell, tuning indexing/maintenance on Microsoft PDW/APS, and providing 24/7 DWH support including backup/recovery and health monitoring, while strengthening governance through data dictionaries and standardized data flows. Mahmoud Ihmidan CV (1) Certified in Microsoft Fabric (DP-700, DP-600) with strong hands-on BI and DWH foundations across SQL Server/SSIS/SSRS/SSAS and Oracle (ODI/OWB/PL/SQL), and a track record of delivering reliable, high-impact analytics solutions.
Senior Support Engineer
Amman
Microsoft
October 2022
-November 2025
During my time at Microsoft as a Senior Support Engineer (EMEA), I’ve provided end-to-end support for enterprise customers across Azure Synapse, Azure Data Explorer (ADX), Microsoft Fabric, Azure Data Factory (ADF), and Power BI. My work focuses on handling complex escalations, diagnosing and improving query execution and performance, and collaborating with multiple engineering teams to drive resolution. I’ve supported critical scenarios involving networking and connectivity, Dedicated SQL Pool performance and workloads, Serverless/Fabric patterns, pipeline reliability and CI/CD, and advanced troubleshooting. I’m recognized as an SME for Synapse Dedicated SQL Pool, have led triage efforts, mentored engineers, and authored 10+ troubleshooting guides (TSGs) to strengthen internal knowledge and reduce recurring
Supervisor Data Engineer
Amman
Umniah
September 2019
-September 2022
I served as a Data Engineer Supervisor, leading the design and implementation of scalable ETL/ELT pipelines with incremental loading and automation for large datasets. I maintained and optimized the enterprise Data Warehouse (Microsoft PDW/APS) through performance tuning, indexing, and automated maintenance routines (rebuild/reorganize), improving reliability and data availability. I also provided 24/7 DWH operational support including monitoring, backup/recovery, and incident handling, while partnering with business teams to translate requirements into trusted datasets and reports and strengthening governance through standardized data flows and data dictionary practices.
Senior Data Engineering
Amman
Orange
March 2016
-September 2019
I worked as a Data Engineer, building and maintaining enterprise data pipelines and data warehouse solutions to support reporting and analytics. I developed and optimized SQL-based transformations, ensured data quality and consistency across sources, and collaborated closely with business stakeholders to translate requirements into reliable datasets and dashboards. I also supported day-to-day DWH operations, troubleshooting data issues, improving query performance, and contributing to documentation and process standardization to keep deliveries stable and repeatable.
Computer Science
Jordan
Al-Balqa Applied University (BAU)
August 2009
-January 2013
Microsoft DP-700 (Fabric Data Engineer Associate)
Online
Microsoft
2024
Microsoft Fabric Data Engineer Associate
Microsoft DP-600 (Fabric Analytics Engineer Associate)
Online
Microsoft
2024
Microsoft Fabric Analytics Engineer Associate
Microsoft AI-900 (Azure AI Fundamentals)
Online
Microsoft
2023
Azure AI Fundamentals
Oracle PL/SQL Developer Certified Associate (OCA)
Online
Oracle
2012
Oracle Certified Associate – PL/SQL Developer