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    AWS Glue Delivery & Data Integration Pipeline Automation

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    Sold by: Experts Cloud LLC 
    Build serverless, scalable ETL pipelines and modern data lakes with our AWS Glue Delivery service. We design, build, and optimize automated data integration workflows using AWS Glue Data Catalog, PySpark/Python ETL scripts, Glue Crawlers, Glue DataBrew, and AWS Lake Formation. Drive analytics-ready data with built-in data quality rules, job bookmarking, schema evolution, and cost-optimized DPU scaling.

    Overview

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    Our AWS Glue Delivery service empowers enterprise data engineering and analytics teams to transition from legacy, complex ETL infrastructure to a fully managed, serverless data integration platform.

    By leveraging AWS Glue, Amazon S3, Amazon Redshift, Amazon Athena, and AWS Lake Formation, we establish high-throughput data processing architectures that prepare, cleanse, and structure petabyte-scale data for business intelligence, reporting, and AI/ML workloads.

    Core Capabilities & Deliverables:

    1. Automated Metadata Discovery & Data Catalog Setup:

      • Configuration of AWS Glue Data Catalog as a centralized metadata repository across all data sources.
      • Setup of automated AWS Glue Crawlers with schema classification, partition management, and change detection.

    2. Serverless ETL & Stream Data Pipeline Engineering:

      • Development of PySpark, Python Shell, and Scala ETL scripts customized for batch and streaming data processing.
      • Visual ETL pipeline creation via AWS Glue Studio and low-code data preparation using AWS Glue DataBrew.
      • Incremental processing setup using AWS Glue Job Bookmarks to prevent re-processing historical data.

    3. Data Quality, Governance & Security:

      • Implementation of AWS Glue Data Quality rules for automated data cleansing, validation checks, and anomaly alerts.
      • Fine-grained data access control, column/row-level security, and data lineage enforcement integrated with AWS Lake Formation.
      • Column-level encryption and secure KMS integration for sensitive data assets.

    4. Workflows, Orchestration & Monitoring:

      • Automated workflow orchestration using AWS Glue Triggers, Workflows, or Apache Airflow (Amazon MWAA).
      • Integration with Amazon CloudWatch and EventBridge for real-time alerting, error recovery, and operational logging.

    5. Performance Tuning & Cost Optimization:

      • DPU (Data Processing Unit) right-sizing, auto-scaling configuration, and job execution optimization to minimize costs.
      • Data format conversion to optimized columnar storage formats (Parquet, ORC) with efficient partitioning strategies.

    Key Customer Outcomes:

    • Rapid time-to-value for modernizing legacy database ETL tools to cloud-native serverless integration.
    • Near-zero infrastructure management, automatically scaling from gigabytes to petabytes.
    • Unified, high-quality, governance-ready data layers powering downstream AI, ML, and business intelligence dashboards.

    Highlights

    • Serverless Data Pipeline & ETL Automation - Design scalable batch and streaming ETL workflows using PySpark and AWS Glue Studio without managing compute clusters.
    • Unified Data Catalog & Automated Governance - Establish an enterprise-wide metadata catalog with automated Crawlers, schema discovery, and Lake Formation security controls.
    • Built-in Data Quality & Cost Optimization - Implement Glue Data Quality rules, Parquet format optimization, and dynamic DPU auto-scaling to maximize reliability and minimize cloud spend.

    Details

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    Experts Cloud LLC 
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    Support

    Vendor support

    Support Description: Our AWS Certified Data Engineers deliver full lifecycle support, from architecture planning through pipeline deployment, validation, and team enablement. Engagements include dedicated communication via Slack/Teams channels, comprehensive ETL runbooks, operational monitoring support, and 30 days of post-deployment support.

    Email: sales@theexpertscloud.com  Website: https://www.theexpertscloud.com/   Business Hours: Monday–Friday, 9:00 AM–6:00 PM (UTC)