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    End-to-End Data Pipeline Architecture with AWS Glue, MWAA, and RDS

     Info
    Sold by: Maxim Schram (Skripted LLC) 
    Design and deploy resilient, automated analytics pipelines using AWS Glue, MWAA (Managed Airflow), and RDS. Includes ingestion, transformation, orchestration, and BI-ready output.

    Overview

    This service delivers a complete, cloud-native analytics pipeline architecture on AWS. I’ll help you build robust, automated data workflows that ingest data from on-prem or cloud sources, transform it using AWS Glue and DBT, orchestrate with MWAA, and deliver structured results into Amazon RDS for business intelligence.

    Key features include:

    • Airflow-based orchestration using GitHub Actions and MWAA
    • Modular DAGs and containerized DBT transformations
    • Event-driven Lambda processors for S3-ingested files
    • Secure deployment of Glue jobs for ETL/ELT, including schema sync and external data loading
    • RDS Proxy for connection scaling

    This is ideal for teams needing scalable pipelines that connect operational databases, cloud storage, and BI platforms with automation, governance, and high availability built-in.

    Highlights

    • Scalable Data Orchestration with MWAA - Automate multi-stage data workflows using Managed Workflows for Apache Airflow (MWAA) and GitHub Actions integration.
    • Glue-Powered ETL & ELT Workflows - Run scalable Glue jobs for ingesting on-prem data, transforming CSVs, and preparing structured datasets for analytics.
    • BI-Ready Output via RDS - Load curated data into Amazon RDS behind a secure proxy, accessible to BI platforms for real-time insights.

    Details

    Sold by
    Maxim Schram (Skripted LLC) 
    Categories
    Implementation 
    Business Intelligence & Advanced Analytics 
    Data Analytics 
    Delivery method
    Deployed on AWS

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