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Infinite360Consulting · Academy
Data & cloud

Data engineering for customer data platforms

Customer data engineering: ETL/ELT, Kafka streaming, Snowflake, BigQuery and Databricks integration, data quality and pipelines for AEP.

Quick answer

Customer data engineering builds the pipelines that feed and consume a CDP: batch ETL/ELT from source systems, event streaming, warehouse integration, data quality checks and monitoring. We design pipelines with SQL, Python/PySpark, Kafka, dbt and orchestration tools, and integrate them with Adobe Experience Platform.

Capabilities

Batch pipelines

Incremental extracts, transformations and loads with reconciliation.

Streaming

Event streaming with Kafka or cloud pub/sub into AEP streaming APIs.

Warehouses

Snowflake, BigQuery and Databricks integration patterns.

Data quality

Validation, deduplication, identity hygiene and monitoring.

See AEP data ingestion and AEP architecture.

Frequently asked questions

Should we load everything into AEP?

No. Load the data your use cases need; keep analytical history in your warehouse where it is cheaper and easier to govern.

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