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
See which departments and functions this freelancer has contributed to most.
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
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
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Syed Muhammad Aun Raza is based in Augsburg, Germany.
Syed Muhammad Aun Raza speaks the following languages: Hindi (Native), Urdu (Native), English (Advanced), German (Intermediate).
Syed Muhammad Aun Raza has at least 3 years of experience. During this time, Syed Muhammad Aun Raza has worked in at least 3 different roles and for 2 different companies. The average length of individual experience is 1 year and 1 month. Note that Syed Muhammad Aun Raza may not have shared all experience and actually has more experience.
Based on recent experience, Syed Muhammad Aun Raza would be well-suited for roles such as: Master Thesis - Semantic Layer, Data Analytics & Digitalization, Data Analyst and Process Improvement Engineer.
Syed Muhammad Aun Raza's most recent position is Master Thesis - Semantic Layer at Linde GmbH, Linde Engineering - Commercial Department.
In recent years, Syed Muhammad Aun Raza has worked for Linde GmbH, Linde Engineering - Commercial Department and Hyundai Nishat Motor (Pvt.) Ltd..
Syed Muhammad Aun Raza is most experienced in industries like Manufacturing, Automotive, and Chemical.
Syed Muhammad Aun Raza is most experienced in business areas like Business Intelligence, Operations, and Quality Assurance. Syed Muhammad Aun Raza also has some experience in Information Technology.
Syed Muhammad Aun Raza holds a Master in Technology and Innovation Mgmt. from Hochschule Harz and a Bachelor in Mechanical Engineering from NED University of Engineering and Technology.
Syed Muhammad Aun Raza is immediately available full-time for suitable projects.
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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