About This Architecture

Automated ETL pipeline with medallion architecture ingests streaming clickstream data via Kinesis, batch CSV files, and structured documents from RDS through parallel stream and batch processors. Raw data lands in Bronze tier object storage as immutable Parquet/JSON, flows through Silver curation for deduplication and cleaning, then aggregates to Gold tier in Redshift ra3.xlplus for business metrics. Feature Store and Query Cache serve pre-computed analytics to BI tools and analysts without manual intervention, eliminating bottlenecks in the serving layer.

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How do I build an automated ETL pipeline with medallion data lake tiers on AWS?

This diagram shows a three-tier medallion architecture where Kinesis streams and batch jobs feed raw data into Bronze tier object storage, Silver tier curates and deduplicates, and Gold tier aggregates metrics in Redshift ra3.xlplus. Feature Store and Query Cache serve pre-computed results to BI tools without manual ETL overhead.

Automated ETL Data Pipeline with Lake Tiers

MultiadvancedAWSETLData LakeKinesisRedshiftData Engineering
Domain: Data EngineeringAudience: Data engineers building automated multi-tier ETL pipelines on AWS
1 views0 favoritesPublic

Created by

August 14, 2026

Updated

August 16, 2026 at 3:03 PM

Type

data pipeline

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