Data Engineer
Summary
Build and maintain Google BigQuery data lakes, design pipelines to sync data with Adobe and Oracle CDPs, and optimize SQL for fast analytics and reporting.
Data Engineer
• Working experience on data pipeline, BigQuery, DataLake, working with large
data modals & queries
• Built and maintained Google BigQuery as the enterprise data lake - designing
schemas, partitioning strategies, data quality frameworks, and access controls
• Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe
CDP to enable profile, audience, and event data exchange
• Implemented Web SDK streaming pipelines feeding real-time behavioral data
into Adobe CDP
• Developed schema-aligned, optimized SQL queries delivering fast execution
and efficient data retrieval across BigQuery workloads
• Ingested intent data provider and advertising platform feeds into BigQuery and
onward to Adobe CDP for activation
• Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery
to enable unified cross-channel reporting
• Supported Looker dashboard data models, monitored pipeline SLAs, and led
data reconciliation across source and target systems
Data Engineer
• Working experience on data pipeline, BigQuery, DataLake, working with large
data modals & queries
• Built and maintained Google BigQuery as the enterprise data lake - designing
schemas, partitioning strategies, data quality frameworks, and access controls
• Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe
CDP to enable profile, audience, and event data exchange
• Implemented Web SDK streaming pipelines feeding real-time behavioral data
into Adobe CDP
• Developed schema-aligned, optimized SQL queries delivering fast execution
and efficient data retrieval across BigQuery workloads
• Ingested intent data provider and advertising platform feeds into BigQuery and
onward to Adobe CDP for activation
• Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery
to enable unified cross-channel reporting
• Supported Looker dashboard data models, monitored pipeline SLAs, and led
data reconciliation across source and target systems
Data Engineer
• Working experience on data pipeline, BigQuery, DataLake, working with large
data modals & queries
• Built and maintained Google BigQuery as the enterprise data lake - designing
schemas, partitioning strategies, data quality frameworks, and access controls
• Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe
CDP to enable profile, audience, and event data exchange
• Implemented Web SDK streaming pipelines feeding real-time behavioral data
into Adobe CDP
• Developed schema-aligned, optimized SQL queries delivering fast execution
and efficient data retrieval across BigQuery workloads
• Ingested intent data provider and advertising platform feeds into BigQuery and
onward to Adobe CDP for activation
• Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery
to enable unified cross-channel reporting
• Supported Looker dashboard data models, monitored pipeline SLAs, and led
data reconciliation across source and target systems