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Data Engineer with 2+ years in Supply Chain Analytics & Azure Data Platform
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Assessing your cultural and operational fit
Results-driven Data & BI Engineer with 3 years of experience in supply chain analytics, delivering end-to-end data solutions across procurement, inventory, logistics, and demand planning domains. Proficient in Azure Data Engineering (ADF, ADLS Gen2), Databricks, PySpark, SQL/PL/SQL, Delta Lake, and Power BI. Proven track record of reducing manual reporting effort by 60%+ and enabling real-time supply chain visibility for cross-functional stakeholders.
Cultural Fit Analysis
The candidate's experience spans both Data Engineering and BI, showing versatility. The focus on supply chain analytics and various data platforms suggests adaptability and a broad technical interest. The project diversity, even within a single company, indicates a willingness to tackle different challenges. The certifications further demonstrate a proactive learning attitude.
Soft Skills & Operational Fit
The resume highlights collaboration with cross-functional teams, problem-solving (e.g., optimizing slow SQL queries, reducing reporting time), and a results-driven approach (e.g., reducing manual reporting effort by 60%+). These indicate a good operational fit and strong soft skills for a senior role.