Data Engineer with 3+ years in Azure Databricks, Microsoft Fabric, and Power BI
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Microsoft Certified Data Engineer and Analyst with 3+ years of international experience building scalable data solutions across Azure Databricks, Microsoft Fabric, Power BI, and Sigma Computing. Currently delivering analytics for German operations using PlentyOne ERP, Python automation, and Spark processing. Proven track record of reducing processing time by 60%, cutting costs by 40% through platform optimization, and improving data accuracy by 25%. Expert in ETL/ELT pipelines, dimensional modeling, OLAP cubes (SSAS), Google Apps Script automation, and integrating enterprise systems (Salesforce, NetSuite, PlentyOne, AccessPay).
National Textile University
Bachelor of Science · Computer Science
August 1, 2018 – June 30, 2022
Kips College
FSc Pre-Engineering
June 1, 2016 – May 31, 2018
EL-NOTE
Data Analyst
July 1, 2025 – Present
Germany
Kavtech Solutions (Private) Ltd.
Data Engineer
February 1, 2025 – July 1, 2025
Lahore, Punjab, Pakistan
Brickclay
Business Intelligence Engineer
August 1, 2022 – February 1, 2025
Faisalabad, Punjab, Pakistan
Social Saints
Web Developer (Internship)
August 1, 2021 – October 1, 2021
Lahore, Punjab, Pakistan
PlentyOne ERP Analytics Platform
July 1, 2025 – June 30, 2026
Built comprehensive analytics infrastructure for German e-commerce operations integrating PlentyOne ERP with Microsoft Fabric and Power BI, automating 80% of data flows using Python and Google Apps Script, processing 100K+ daily transactions and delivering 10+ real-time dashboards that improved operational efficiency by 45%.
Google Apps Script Automation Framework
July 1, 2025 – June 30, 2026
Created automated reporting system using Google Apps Script integrated with BigQuery and Google Sheets, delivering daily operational reports to 30+ users across 3 time zones and reducing manual reporting effort by 70%.
Microsoft Fabric & Spark Implementation
February 1, 2025 – July 1, 2025
Architected scalable data processing solution using Microsoft Fabric and Apache Spark handling 2M+ records daily, implementing medallion architecture and reducing processing time from 6 hours to 45 minutes (92% improvement) while maintaining 99.8% data accuracy.
Power BI to Sigma Computing Migration
February 1, 2025 – July 1, 2025
Successfully led platform transformation migrating 15+ enterprise dashboards from Power BI to Sigma Computing, achieving 40% cost reduction through eliminated Premium capacity fees while maintaining full analytical capabilities and improving query performance by 30%.
Azure Databricks & Delta Lake Implementation
February 1, 2025 – July 1, 2025
Deployed lakehouse solution on Azure Databricks with Delta Lake, processing 5M+ daily records with ACID transaction support, improving data accuracy by 25% and reducing storage costs by 15% through optimized partitioning and compression strategies.
OLAP Cubes & Advanced Analytics
August 1, 2022 – February 1, 2025
Developed multidimensional SSAS cubes and 25+ SSRS reports that improved sales forecasting accuracy by 20%, enabling data-driven inventory and pricing strategies that increased revenue by 12% year-over-year.
Enterprise System Integration via SSIS
August 1, 2022 – February 1, 2025
Built comprehensive ETL workflows integrating Salesforce, NetSuite, and AccessPay systems, eliminating 60% of manual reconciliation work and improving data delivery timeliness from 48 hours to 4 hours, processing 500K+ transactions daily.
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
January 1, 2024 – Present
Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft
January 1, 2024 – Present
Data-Driven Decisions with Power BI
Microsoft Learn
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from ERP analytics to lakehouse implementations and BI migrations, indicates adaptability and a broad skill set. Their experience in international, cross-functional teams (Germany, UK, US) suggests a strong cultural fit for diverse and collaborative environments. The continuous learning demonstrated through certifications and adoption of new platforms (e.g., Sigma Computing) aligns with a growth-oriented culture. The focus on cost reduction and efficiency improvements also aligns with business-value driven cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including cross-timezone collaboration, technical documentation, and stakeholder communication, which are crucial for operational fit in a senior data engineering role. Their experience in Agile methodologies and team collaboration further enhances their operational readiness. The quantifiable impact of their work (e.g., 45% reduction in decision-making time, 92% processing time improvement) highlights a results-oriented approach.