Muhammad Hassan
Senior
Building scalable data pipelines, cloud architectures, and enterprise analytics solutions using Azure, Databricks, Microsoft Fabric, and Power BI.
About Me
Who I Am
A strategic and results-driven Data Engineer with expertise in developing modern cloud-based data solutions. Skilled in designing scalable data architectures, including unified storage systems, semantic models, and dimensional data modelling to support enterprise analytics.
Experienced in building end-to-end data pipelines and supporting migration of legacy data platforms to Microsoft Fabric for modern, unified analytics. Strong in querying, data transformation, and automating workflows to improve data accessibility and reliability.
A self-starter and strategic thinker, known for independently driving high-impact initiatives aligned with business goals. Committed to agile delivery, data governance, automation, and continuous professional development.
Cloud Data Engineering
Azure Data Factory, Databricks, Synapse Analytics, Microsoft Fabric
Machine Learning & AI
Predictive analytics, ML algorithms in Python, Azure Cognitive Services
Business Intelligence
Power BI, SSRS, SSAS, DAX, enterprise reporting environments
Data Governance
GDPR compliance, data masking, RBAC, metadata lineage, Azure Purview
Technical Skills
What I Work With
Career History
Work Experience
- Analysed sensitive data across 600+ tables for GDPR compliance and metadata consistency.
- Implemented data masking and RBAC; created metadata lineage for regulatory tracking.
- Applied DevOps practices to automate deployment and monitoring of compliance-related data workflows.
- Collaborated on data governance initiatives involving Azure Purview and Snowflake sharing principles.
- Designed innovative solutions for automating compliance checks across big data environments.
- Developed scalable ETL pipelines using Python and SSIS for seamless data integration into SQL databases.
- Created and deployed data workflows via SSDT, managing multiple SSIS domains with scheduled automation.
- Designed 20+ SSRS and Power BI Report Server (PBIRS) environments for enterprise applications.
- Built dashboards and paginated reports using Power BI and SSRS, enhancing decision-making capabilities.
- Built and deployed multidomain and tabular data models using Power Query, DAX, Power BI, and SSAS.
- Wrote complex T-SQL queries for data extraction, transformation, and feature engineering across large datasets.
- Automated data collection and transformation using Power Query, Python, and Google Apps Script.
- Integrated CI/CD pipelines using GitHub to streamline data processes and support reliable deployments.
- Integrated data flow across 345 institutions using spreadsheet analytics and automated consolidation routines.
- Managed payroll and budget using Excel and automated reporting with VBA and Google Apps Script.
- Handled complex data analysis with pivot tables, macros, formulas, and automation scripting.
- Helped boost student attendance from 60% to 85% by applying actionable outcome insights.
- Identified 20,000 bogus student records to support expenditure regularisation.
- Trained end users to adopt the newly developed system through in-person sessions and documentation.
Featured Work
Projects
Designed and deployed a data warehouse using Snowflake Schema to manage 5.6M NSN components. Built ingestion pipelines for mining, cleaning, and integrating metadata. Developed complex model queries, views, functions, and stored procedures to streamline cross-functional workflows.
Enhanced defect prediction systems for VALEO production lines using real-time analytics and ML algorithms. Achieved distinction for this project. Delivered insights via Power BI dashboards with advanced DAX and drill-through capabilities.
Automated compliance checks across 600+ database tables. Implemented RBAC and data masking policies, built metadata lineage tracking, and leveraged Azure Purview for governance across big data environments.
Integrated data flow across 345 educational institutions. Identified 20,000 bogus student records saving public expenditure, and implemented analytics that boosted student attendance from 60% to 85%.
Academic Background
Education
- Specialised in machine learning, predictive analytics, and data visualisation with practical engineering focus.
- Achieved distinction enhancing defect prediction systems for VALEO production lines using real-time analytics.
- Delivered ML and analytics projects using space weather datasets with Power BI dashboards using advanced DAX.
- Gained hands-on experience with SQL, Spark, Python, Databricks, Delta Lake, and Azure-based tools.
Get In Touch
Contact
Open to new data engineering and analytics roles across the UK. Feel free to reach out via email or phone — I’d love to connect.
[email protected]
Phone
+44 •••• ••••••
click to revealLocation
Greater Leeds Area, UK
Driving Licence
Full UK Licence
muhammad-h-504356139
GitHub
hassan0399