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Data Engineer | 5+ Years Experience | Azure, PySpark, Databricks

Actively Looking for Work

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Experienced Data Engineer

with over 5 years of hands-on expertise in designing, building, and deploying scalable data pipelines across healthcare, analytics, and consulting domains. Skilled in leveraging Azure Data Factory, Databricks, PySpark, SQL, and Snowflake to create efficient and reliable data workflows. Strong understanding of data lakehouse architectures, with proven experience in handling structured and semi-structured data for business intelligence and machine learning use cases. Proficient in implementing ETL/ELT frameworks, automating deployments using CI/CD pipelines with Azure DevOps, and maintaining robust data governance, lineage, and quality standards. Collaborative team player with a background in agile environments, working closely with cross-functional stakeholders including data scientists, analysts, and business leaders. Passionate about continuous learning and applying modern cloud data engineering practices to solve complex, real-world problems. Actively seeking to contribute to innovative, data-driven projects in fast-paced global environments.

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