Data Pipeline Engineering
Builds reliable batch and streaming pipelines that move and transform data at production scale.
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Builds reliable batch and streaming pipelines that move and transform data at production scale.
Designs warehouse and lakehouse models that support accurate analytics, reuse, and performance.
Operates scheduled workflows with monitoring, retries, dependency control, and incident response.
Defines tests, validation rules, and observability checks to keep datasets trustworthy over time.
Implements lineage, access controls, and retention rules to meet compliance and data protection needs.
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