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    Algoscale - AWS Data Warehouse Modernization in Logistics

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    Sold by: Algoscale 
    Algoscale delivers end-to-end AWS data warehouse modernization using Medallion Architecture to unify fragmented ERP, CRM, HR, and financial systems into a single governed data lake.

    Overview

    Algoscale specializes in AWS Data Warehouse Modernization for enterprises with complex, fragmented data environments. We design and deliver end-to-end cloud data platforms built on the Medallion Architecture (Bronze, Silver, Gold) using Amazon S3 as the centralized storage layer, enabling organizations to unify siloed systems into a single governed data lake.

    Our engagement model addresses critical challenges faced by organizations that have grown through acquisitions--where multiple independent ERP instances, CRM platforms, HR systems, and financial planning tools operate in silos with no unified reporting layer.

    What We Deliver:

    We build production-grade AWS Glue PySpark ETL jobs covering all KPI domains including HR Turnover, Revenue Bridge, Sales Pipeline, Customer 360, Financial Planning, and Accounts Receivable. Our team implements real-time Change Data Capture ingestion from multiple Microsoft Business Central ERP instances and Dynamics 365 CRM using AWS DMS.

    We develop custom Lambda-based Master Data Management services with brand dictionaries and confidence scoring to resolve canonical entity names across subsidiaries, backed by Amazon RDS PostgreSQL. Pipeline orchestration is deployed using AWS Step Functions with synchronous execution, parallel Gold-layer job processing, per-job retry logic with exponential backoff, and structured catch handlers.

    Data governance is enforced through AWS Lake Formation with row-level and column-level security per territory, requiring zero infrastructure changes for business users.

    Proven Results:

    In a recent engagement with a US-based physical security and fire systems integrator operating 14+ subsidiary companies, Algoscale unified all subsidiary ERPs, CRM, HR, and financial planning systems into a single AWS data lake. The solution delivered 20+ real-time Power BI KPI dashboards, achieved a 70% reduction in reporting preparation time, and enabled 100% automation of daily pipeline execution running twice daily with zero manual triggers.

    Algoscale Differentiators:

    Deep expertise in multi-ERP unification with proven patterns for ingesting and normalizing data from numerous independent instances into a single governed layer. Engineering mindset focused on long-term scalability with enterprise-grade orchestration, alerting, and observability built from day one. Proprietary MDM capability that solves cross-subsidiary identity problems no off-the-shelf tool can address. DAX-to-PySpark parity expertise to reverse-engineer complex Power BI calculation logic and reimplement it in the data layer, eliminating dependency on dashboard-level transformations.

    Highlights

    • End-to-end Medallion Architecture on AWS unifying 14+ ERP, CRM, HR, and financial systems into a single governed data lake with automated twice-daily data refreshes
    • Custom Master Data Management service with Lambda-based canonical name resolution, confidence scoring, and Amazon RDS PostgreSQL ledger for cross-subsidiary entity deduplication
    • Fine-grained AWS Lake Formation security with row-level and column-level access controls per territory, delivering regional data governance with zero infrastructure changes for end users

    Details

    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    Support Email: askus@algoscale.com 

    Support URL: https://algoscale.com/contact 

    Support Details: Algoscale provides implementation and post-engagement support for this professional service. Buyers can expect support for project coordination, solution design clarification, delivery-related questions, issue resolution, and knowledge transfer during the engagement. Support is primarily provided through email and scheduled calls during standard business hours, with response times aligned to the agreed scope of work and engagement plan. For ongoing support, enhancement requests, or managed services after project completion, Algoscale can define a separate support or retainer arrangement based on customer needs.