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Data Engineer with 2+ years in PySpark, SQL & Cloud Data Platforms
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 2 years of professional experience designing and delivering end-to-end data pipelines across enterprise, healthcare, and supply chain domains. Currently working at Team Computers Pvt. Ltd., contributing to large-scale dashboard automation and data engineering projects for clients including SAR Group and Sir Ganga Ram Hospital. Experienced in ETL pipeline development, data ingestion, transformation, and validation using PySpark, SQL, and Azure services, and deploying scalable workflows with Apache Airflow. Proven ability to collaborate with business users and stakeholders to gather requirements and translate them into analytics-ready datasets. Detail-oriented problem solver with a solid understanding of data modeling, KPI computation, and performance optimization.
Team Computers Pvt. Ltd.
Data Engineer
March 1, 2025 – Present
India
Netzwala Services Pvt. Ltd
Data Engineer
March 1, 2024 – March 1, 2025
India
Cultural Fit Analysis
The candidate has experience across enterprise, healthcare, and supply chain domains, indicating adaptability to different business contexts. Their work on large-scale dashboard automation and data engineering projects for various clients (SAR Group, Sir Ganga Ram Hospital, Kajaria Pvt. Ltd.) suggests an ability to work with diverse requirements and stakeholders. The breadth of technical skills (PySpark, Azure, Airflow, SQL, Power BI) aligns well with a dynamic data engineering environment.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach to problem-solving, with an understanding of data modeling, KPI computation, and performance optimization. Their experience in collaborating with analytics teams and stakeholders suggests good operational fit for data delivery and reporting needs. The resume highlights a focus on data quality and consistency assurance, which is crucial for operational reliability.