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Data Engineer with 3+ years in Azure Data & ETL
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Assessing your cultural and operational fit
Azure Data Engineer with 3+ years of experience designing and implementing scalable data pipelines and enterprise integration platforms. Currently leading ETL development and data integration for Project Phoenix at Clifford Capital (Singapore) — a large-scale Microsoft Fabric and Azure integration initiative through ARGES Global. Expertise spans Microsoft Fabric (Medallion Architecture), Azure Data Factory, Databricks, Azure Logic Apps, Azure Functions, Application Insights, and Microsoft Purview. Certified in DP-700(Fabric) and DP-203 with strong command of PySpark, SQL, and data governance. Proven track record in building cloud-native, analytics-ready data solutions for banking and financial services domains.
Walchand College of Engineering, Sangli
Bachelor of Technology · Information Technology
N/A – June 30, 2022
ARGES Global Pt. Ltd.
Azure Data Engineer
July 1, 2025 – Present
Singapore, Central Singapore Community Development Council, Singapore
Molars Technologies
Azure Data Engineer
August 1, 2022 – July 1, 2025
India
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft
March 1, 2027 – March 1, 2027
Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Microsoft
March 1, 2026 – March 1, 2026
Cultural Fit Analysis
The candidate's experience across two companies, both in the Azure Data Engineer role within the banking/financial services domain, shows a focused career path. Their involvement in large-scale projects like 'Project Phoenix' and collaboration with various stakeholders (architects, business, external consultants) indicates adaptability and a collaborative mindset. The breadth of technical skills and continuous learning implied by multiple certifications suggests a proactive approach to professional development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and team collaboration skills, as evidenced by their project descriptions involving cross-functional teams and complex integration challenges. Their experience in monitoring, debugging, and managing deployment pipelines indicates a good operational fit for maintaining robust data platforms. The emphasis on security-compliant platforms and regulatory compliance also aligns well with best operational practices.