I'm a Senior Data Engineer with a decade of experience delivering enterprise-scale ETL and data platform initiatives across banking and healthcare. I blend hands-on technical skills with leadership to build scalable data pipelines, architect distributed data platforms, and optimize large-scale processing across cloud and on-prem environments. I enjoy solving complex problems, aligning solution design with business goals, and enabling cross-functional teams to deliver reliable data solutions. I have strong experience in data governance, regulatory compliance, and stakeholder engagement, ensuring data access, quality, and security while driving analytics and data science workloads. I’m passionate about building governance-friendly data ecosystems that empower analysts, engineers, and data scientists alike.

Muhammad Mutter

I'm a Senior Data Engineer with a decade of experience delivering enterprise-scale ETL and data platform initiatives across banking and healthcare. I blend hands-on technical skills with leadership to build scalable data pipelines, architect distributed data platforms, and optimize large-scale processing across cloud and on-prem environments. I enjoy solving complex problems, aligning solution design with business goals, and enabling cross-functional teams to deliver reliable data solutions. I have strong experience in data governance, regulatory compliance, and stakeholder engagement, ensuring data access, quality, and security while driving analytics and data science workloads. I’m passionate about building governance-friendly data ecosystems that empower analysts, engineers, and data scientists alike.

Available to hire

I’m a Senior Data Engineer with a decade of experience delivering enterprise-scale ETL and data platform initiatives across banking and healthcare. I blend hands-on technical skills with leadership to build scalable data pipelines, architect distributed data platforms, and optimize large-scale processing across cloud and on-prem environments. I enjoy solving complex problems, aligning solution design with business goals, and enabling cross-functional teams to deliver reliable data solutions.

I have strong experience in data governance, regulatory compliance, and stakeholder engagement, ensuring data access, quality, and security while driving analytics and data science workloads. I’m passionate about building governance-friendly data ecosystems that empower analysts, engineers, and data scientists alike.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
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Work Experience

Principal Data Engineer at Vidyard
January 1, 2026 - Present
Led the architecture and implementation of a centralized data gateway spanning data warehouse and data lake environments, enabling unified and governed data access across multiple sources. Established a semantic layer to standardize data consumption, supporting analytics, data science, and downstream data platforms. Built an API-driven framework to onboard and enable enterprise datasets as Virtual Datasets on a centralized Dremio-based gateway platform, automating schema change tracking, data refresh orchestration, caching control, and metadata governance, with integration to data pipelines and data quality frameworks. Implemented enterprise-grade access control via Privacera with a centralized policy governance workflow to accelerate approvals and improve audit traceability. Optimized terabyte-scale datasets using Iceberg-based table design, partitioning, and caching to reduce latency from hours to minutes. Built a metadata-driven AWS data platform using EMR, MWAA, and Lambda to orche
Staff Data Engineer at PayByPhone
April 1, 2021 - January 1, 2026
Designed and developed a Python-based Data Governance platform to support a large-scale Data Lake initiative within the banking domain, delivering data lineage, business glossary, metadata discovery, data dictionary management, and data quality enforcement. Key contributor to centralized Data Lake architecture using Hadoop ecosystem (Spark, Impala, Cloudera Manager) and Microsoft SQL Server for scalable enterprise data warehousing and analytics. Engineered high-performance data pipelines (Spark, Impala, Sqoop) ingesting data from diverse sources (DB2, Oracle, Firebase, Google BigQuery) to enable near real-time analytics and regulatory reporting. Developed production-grade REST API (FastAPI) to expose real-time customer account status from core banking systems, and optimized performance with SQL Server columnstore indexing. Improved Data Lake performance via denormalization and a trickle migration strategy, and led data warehouse modernization to align with digital banking needs.
Data Analytics Engineer at STN Video
January 20, 2020 - March 20, 2021
Designed and developed a real-time biometric verification application to improve identity validation accuracy and processing speed. Contributed to an ERP system supporting retail operations (inventory, sales, reporting) and built scalable data pipelines for structured and semi-structured data to support analytics and operational use cases. Created interactive dashboards and reports to drive data-driven decision-making for stakeholders, and implemented data quality checks and monitoring to ensure data reliability across systems.
Data Warehouse Developer at The American University in Cairo
March 1, 2017 - June 1, 2019
Designed and implemented a centralized HR data warehouse to monitor site occupancy, integrating multiple operational data sources for unified data consumption via mobile apps and BI dashboards for real-time analytics and workforce visibility. Developed and optimized ETL pipelines, built dimensional models (star and snowflake schemas), and delivered scalable reporting solutions. Performed performance tuning to reduce report execution times and collaborated across HR, IT, and business teams to ensure governance and security policies were applied.
Business Intelligence Developer at Vodafone
January 1, 2016 - March 1, 2017
Developed and maintained BI solutions in a telecom environment, delivering dashboards and reports for customer analytics, revenue tracking, and operations monitoring. Designed and optimized reporting pipelines to improve data processing efficiency and reduce latency. Implemented data validation checks and reconciliation processes to ensure data quality and consistency, and collaborated with cross-functional teams to gather requirements and deliver reliable data for decision-making.

Education

Professional Diploma, Data Science & Big Data Analytics at Information Technology Institute (ITI)
January 1, 2015 - January 1, 2016
Bachelor’s degree, Computer and Information Sciences at Ain Shams University
May 1, 2009 - April 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Software & Internet, Professional Services