I’m looking to build Azure & Microsoft Fabric data platforms—ETL/ELT, governed lakehouse designs, and real-time analytics—while expanding. I value clear requirements, measurable performance wins, and strong collaboration.
wissam imad
@wissamimad
Senior Data Engineer specializing in Azure & Microsoft Fabric ETL/ELT and real-time analytics.
What I'm looking for
I’m a results-oriented Senior Data Engineer with 6+ years of experience designing and implementing cloud-native data platforms on Azure and Microsoft Fabric. I translate business requirements into scalable, production-grade ETL/ELT and analytics solutions.
I specialize in end-to-end ETL/ELT architectures, Medallion Lakehouse design, real-time analytics, and performance optimization. I’ve delivered measurable impact, including reducing query time from 12+ hours to 10 minutes through SQL optimization and building governed, traceable data pipelines.
Across my consulting roles, I’ve supported clients from assessment to delivery—leading data governance and privacy tool assessments, gathering requirements in workshops, and documenting actionable next steps. I also built a Python-based data profiling and lineage tracking application to support governance initiatives.
Currently, I’m expanding into Microsoft Fabric Real-Time Intelligence, AI-powered analytics, and Copilot Studio—building an end-to-end Real-Time Intelligence sandbox with Event Hubs → Eventstream → Eventhouse (KQL) → real-time dashboards. I enjoy mentoring cross-functional teams and contributing reusable templates across Fabric components to accelerate delivery.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer Consultant
Paragon Shift
Jan 2026 - Present (4 months)
Built a Microsoft Fabric Real-Time Intelligence sandbox using Azure Event Hubs to Eventstream/Eventhouse (KQL) and a real-time dashboard with Python and Azure Functions producers. Prototyped Microsoft Copilot Studio agents and implemented code-first Power BI workflows (VS Code, .pbip, TMDL) with reusable Fabric templates.
Data Engineer Consultant
Artefact
Aug 2024 - Dec 2025 (1 year 4 months)
Led MoSCoW-based assessments of data governance and privacy tooling and delivered a structured comparison and recommendation framework based on client workshops. Built a Python data profiling and lineage tracking application and developed a metadata-driven Python ETL framework for Oracle pipelines with incremental loading, lineage, logging, and control-table-based traceability.
Data Engineer Consultant
Paragon Shift
Feb 2022 - Aug 2024 (2 years 6 months)
Designed and implemented an Azure cloud migration using Medallion architecture, improving security and data accuracy while enabling flexible transformations via a main control table. Reduced query time from 12+ hours to 10 minutes through SQL optimization, and implemented monitoring, Row-Level Security (RLS), and CI/CD with Azure DevOps (ARM templates for dev-to-production).
Data Engineer
Rubix
Mar 2021 - Feb 2022 (11 months)
Built and maintained ETL pipelines extracting data from AWS S3, transforming it with DBT, and delivering it for BI visualization in AWS. Scheduled daily pipelines with Apache Airflow, monitored SQL performance with CloudWatch dashboards, and reduced AWS Redshift data size by optimizing stored data compression rates.
Billing Engineer
Africell
Oct 2018 - Oct 2019 (1 year)
Collected data from diverse sources using custom Python and Go scripts and inserted it into a SQL database for analysis and reporting. Automated daily/monthly/yearly reporting with custom and ad-hoc queries, and ensured data integrity through validation checks and database audits including data type checks and unique constraints.
Education
Degrees, certifications, and relevant coursework
AUL University
Bachelor of Science, Computer Science
2014 - 2018
Earned a B.Sc. in Computer Science from AUL University from 2014 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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