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Shalini Jeela
Senior Data Engineer specializing in data pipelines, APIs, and machine learning
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About
Data engineer with experience at Expedia building SQL Server and Azure Data Factory pipelines for business reporting and analytics. Stands out for pragmatic end-to-end pipeline ownership in ambiguous environments, with a strong emphasis on data quality, rerunnability, query performance, and making downstream datasets reliable for other teams.
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Key Strengths
- End-to-end ownership of reporting and analytics data pipelines
- Pragmatic scoping in ambiguous early-stage environments
- Strong SQL-based data transformation and validation
- Reliability-focused pipeline design with retries and safe reruns
- Data quality controls using row-count and schema checks
- Performance tuning through query optimization and indexing
- Debugging pipeline failures with SQL execution plans
- Stakeholder collaboration to define KPIs and data requirements
- Downstream usability focus through stable schemas and documentation
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