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ETL Developer with 4+ years in ETL & Cloud Data Pipelines
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Assessing your cultural and operational fit
Azure Data Engineer / ETL Developer with 4.5 years building and optimizing data pipelines in the BFSI/insurance domain. Specialized in IBM InfoSphere DataStage, Azure Data Factory, PySpark, and Databricks, delivering reliable data integration for enterprise warehouses. Proven record of cutting ETL runtime up to 50% and refresh times from hours to minutes, while automating CI/CD deployments. Microsoft-certified Power BI Data Analyst (PL-300).
University College of Engineering & Technology (UCET), Vinoba Bhave University
B.Tech · Information Technology
August 1, 2017 – June 30, 2021
Tata Consultancy Services (TCS)
System Engineer (ETL / Data Engineer)
December 1, 2021 – Present
Bengaluru, Karnataka, India
Enterprise Data Integration Platform
December 1, 2021 – June 1, 2026
Integrated disparate insurance data sources into a centralized SQL Server warehouse using DataStage and Azure Data Factory, enabling consolidated regulatory and business reporting. Implemented performance tuning and monitoring via DataStage Director, reducing failed-job rate by 60% and improving batch-processing reliability.
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services (TCS) working with a client like AIG (Insurance / BFSI, UK) suggests adaptability to diverse project environments and client-facing roles. The focus on optimizing processes and automating deployments indicates a drive for efficiency and continuous improvement, which aligns with a culture valuing innovation. The breadth of skills across traditional ETL and modern cloud data engineering shows a willingness to learn and adapt to new technologies.
Soft Skills & Operational Fit
The candidate's resume highlights production support experience and maintaining 98% on-time SLA, indicating a strong operational mindset and reliability. The ability to automate deployments and improve job reliability suggests a proactive approach to operational excellence. The descriptions imply problem-solving skills through performance tuning and query optimization.