Syed Muhammad Aun Raza Zaidi-Data Analytics Engineer
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Experience
Master Thesis - Semantic Layer
Linde GmbH, Linde Engineering - Commercial Department
- Thesis Title: Designing a Semantic Layer for Enterprise Analytics and AI Integration.
- Designed a semantic layer architecture for enterprise analytics that improved dataset discovery, relationship mapping, and governed access to reporting data.
- Built schema discovery and SQL generation workflows across 400+ data products, translating complex data structures into consumable analytics assets.
- Implemented role-based access control, Row-Level Security, and query validation to ensure data quality, governed access, and reliable use of enterprise reporting datasets.
Data Analytics & Digitalization
Linde GmbH, Linde Engineering - Commercial Department
- Developed and enhanced Power BI reports for commercial and engineering stakeholders, designing data models, DAX measures, and Power Query transformations for changing reporting requirements.
- Modeled enterprise data in SAP Datasphere to create a semantic layer that standardized source data into analytics-ready datasets for Power BI reporting.
- Supported the consolidation and continuous improvement of existing reporting solutions through cross-department Power BI consulting on data modeling, RLS, DAX, and M transformations.
- Rebuilt assigned Tableau reports in Power BI, redesigning underlying data models while preserving KPI definitions and business logic during migration.
- Contributed to a source-system migration from SAP Datasphere to Databricks, validating data quality across Bronze, Silver, and Gold layers during parallel operation of legacy and target platforms.
- Engineered a row-level commenting solution for Power BI reports using Power Apps, SharePoint Lists, Microsoft Graph API, and Databricks to write user feedback back into Delta tables.
- Gathered functional requirements, supported UAT, and coordinated stakeholders and IT teams for an SAP-based meeting application, strengthening requirement translation between business users and system delivery.
Data Analyst and Process Improvement Engineer
Hyundai Nishat Motor (Pvt.) Ltd.
- Built KPI and operational dashboards in Power BI and Excel for production, quality, downtime, and defects across three assembly lines.
- Automated daily reporting workflows with Power Query, Excel VBA, and SAP data extraction, improving data quality and eliminating spreadsheet errors.
- Performed man-hour, root cause, and process performance analysis to adapt reporting to operational requirements and support data-driven decisions.
Industry Experience
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Experienced in Manufacturing, Automotive, and Chemical.
Business Area Experience
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Experienced in Business Intelligence, Operations, Quality Assurance, and Information Technology.
Summary
I am a BI developer with 2+ years of experience building Power BI data models, reports, and SAP-based analytics solutions. I work across complex source systems, SQL-based transformations, and stakeholder reporting. My focus is reliable data modeling, KPI reporting, and adapting BI solutions to new business requirements.
Skills
- Data Analytics & Business Intelligence — Power Bi, Dax, Power Query, M Language, Kpi Reporting, Rls, Sap Datasphere
- Data Engineering & Cloud Architecture — Sql, Data Modeling, Data Pipelines, Databricks Sql, Delta Lake, Elt, Star Schema Modeling
- Artificial Intelligence & Machine Learning — Python, Pandas, Large Language Models (Llms), Mlflow, Rag
- Software Engineering & Enterprise Automation — Power Apps, Power Automate, Rest Apis, Microsoft Graph Api, Sharepoint Lists, .Net
- Ai-Assisted Development & Tools — Github, Ci/Cd, Databricks Apps, Databricks Sdk, Chainlit, Fastapi
Languages
Education
Hochschule Harz
Master of Engineering, Technology and Innovation Mgmt. · Technology and Innovation Mgmt. · Wernigerode, Germany · 2.2/5.0
NED University of Engineering and Technology
Bachelor of Engineering, Mechanical Engineering · Mechanical Engineering · Karachi, Pakistan · 1.7/5.0
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