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Data Engineer with 3+ years in Microsoft Fabric & Azure Ecosystem
Results-driven Data Engineer and Microsoft Fabric Specialist with 3+ years of progressive experience - beginning as a Data Analyst and evolving into a full-stack Data Engineering role with deep expertise in Microsoft Fabric. Specializes in designing and delivering end-to-end data pipelines, medallion architecture (Bronze/Silver/Gold), Lakehouse/Warehouse solutions, and Delta Lake transformations on Microsoft Fabric. Proficient in PySpark, advanced SQL, One Lake, Fabric Data Pipelines, Dataflows Gen2, and Spark Notebooks. Experienced in data governance and Azure ecosystem integration (ADLS Gen2, Azure Data Factory, Synapse). Strong foundation in Power BI semantic modelling, DAX, and dimensional modelling. Adept at translating complex business requirements into scalable, maintainable, and production-ready data solutions.
Khawaja Fareed University of Engineering and Information Technology (KFUEIT)
B.S. in Computer Science · Computer Science
January 1, 2019 – December 31, 2023
MILLENNIALS ACCOUNTING AND BOOKKEEPING
Data Engineer - Microsoft Fabric
January 1, 2024 – Present
India
Fatima Fertilizer Limited
Data Analyst
June 1, 2023 – December 31, 2023
Sadiqabad, Punjab, Pakistan
Cultural Fit Analysis
The candidate has experience in both a remote Data Engineer role and an on-site Data Analyst role, demonstrating adaptability to different work environments. The progression from Data Analyst to Data Engineer shows a proactive approach to career development and a desire to take on more complex technical challenges. The diverse skill set across Microsoft Fabric, Azure ecosystem, Python, SQL, and Power BI indicates a broad technical interest and ability to integrate into various project teams. However, the low psychometric test score could be a concern regarding cultural fit, particularly in areas like team collaboration and stress handling, which are crucial for a senior role.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on problem-solving, troubleshooting, and ensuring data accuracy and reliability, which are critical for operational stability in a data engineering role. The experience in translating business requirements into technical solutions suggests good analytical and communication skills, although these are not directly assessed by the provided tests. The psychometric test score is low, which might indicate potential challenges in logical reasoning, work attitude, stress handling, or team collaboration, requiring further investigation.