Legacy DWH to cloud-native lakehouse — we've done both

End-to-end data platform delivery. From requirements through production support — we design, build, and operate the infrastructure your business runs on, whether you’re starting from scratch or modernising 15 years of legacy architecture.
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Industry relevance

Banking
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Telco
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Retail
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IT/Tech
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The modernisation journey

Most of our clients arrive with one and leave with the other. We know how to bridge the gap safely.

 

Where most clients start

  • Oracle / Teradata / on-premise DWH
  • Manual, fragile ETL scripts
  • Siloed data, no single source of truth
  • Overnight batch loads, no real-time
  • High maintenance cost, limited scale

 

Where IDS takes you

  • Cloud-native lakehouse (Databricks, Snowflake)
  • Automated pipelines, fully orchestrated
  • Unified, governed data platform
  • Batch + streaming, near real-time
  • Scalable, observable, cost-controlled

Your data governance framework, built to last

Data Warehouse Design & Build

End-to-end DWH delivery: requirements, ETL/ELT development, QA, deployment and production support.

Legacy DWH Modernisation & Replatforming

Migrating DWH schemas, ETL jobs and data models from Oracle/Teradata to Snowflake, Databricks, or Synapse.

Operational Data Stores (ODS)

Near-real-time operational layers for transactional use cases, integrated with core systems.

Data Engineering & Pipelines

Scalable batch and streaming pipelines, orchestration, monitoring and observability for data-intensive environments.

Data Lakes & Lakehouses

Unified environments for structured, semi-structured and unstructured data — governed, queryable, production-ready.

Performance Tuning & Optimisation

DWH and pipeline performance engineering, query optimisation, and cloud cost management.

Technologies we use

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How we build — the full lifecycle

We own the entire delivery — not just one phase of it.
Architecture design
Weeks 1–2
Target-state platform design aligned to your business requirements and cloud strategy.
Data modelling & ETL/ELT development
Core delivery phase

Physical data models, pipeline development, transformation logic, and integration with source systems.

QA & testing
Embedded throughout

Data quality validation, reconciliation testing, performance testing, and UAT with business stakeholders.

Production deployment & support
Post go-live
Go-live, hypercare period, monitoring setup, and ongoing production support and optimisation.

Industry use cases

Banking
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Migrating 15 years of Oracle DWH to Snowflake

End-to-end replatforming of a core banking DWH — schemas, ETL, reports — with zero production downtime.

Telco
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Real-time network analytics pipeline
Streaming data pipeline processing 2M+ events/hour for network performance monitoring and alerting.
Retail
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Unified lakehouse for demand forecasting
Consolidated 7 data sources into a single Delta Lake environment powering ML-based demand models.

Data Platform Cloud Partners

Certified partners of the leading data platform vendors — building across all major cloud providers.
Snowflake
Select Services Partner
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We design, build, and migrate data warehouses natively on Snowflake — from schema design to production pipelines and ongoing optimisation.
  • Data warehouse design & build
  • Legacy DWH migration to Snowflake
  • Snowpark & dbt integration
  • Performance tuning & cost optimisation
Databricks
Registered Partner
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We build unified data and AI platforms on Databricks — from Delta Lake architecture to ML pipelines and lakehouse governance with Unity Catalog.
  • Delta Lake & lakehouse architecture
  • Apache Spark pipeline development
  • Unity Catalog & data governance
  • MLflow & AI/ML integration
Microsoft Azure
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  • Azure Synapse Analytics
  • Azure Data Factory
  • Microsoft Fabric
  • Azure Data Lake
Google Cloud
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  • BigQuery
  • Dataflow
  • Cloud Composer
  • Cloud Storage
AWS
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  • Amazon Redshift
  • AWS Glue
  • S3 Data Lake
  • EMR / Spark

Case studies

Building Tomorrow’s Data Foundation: How a Microfinance Institution Left Legacy Systems Behind

Client: Leading Microfinance Institution
IDS Consulting was engaged to design and build the new Data Warehouse end-to-end — from ingestion layer to reporting.
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Paying Customers Faster: Automating Bonus Eligibility for a Major Retail Bank

Client: Leading Romanian Retail Bank
IDS Consulting was brought in to redesign the entire eligibility flow from enrollment trigger to accounting system — not to patch the existing process, but to replace it.
Read more

100+ Reports, Zero Errors: Integrating a New Application into a Complex DWH

Client: Leading Romanian Retail Bank
IDS Consulting was engaged to lead the full impact assessment and redesign — mapping which of the 100+ DWH objects and reports needed to change, and how.
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From Friction to Trust: Integrating PI Lending into a Legacy DWH Architecture

Client: Leading Romanian Retail Bank
IDS Consulting was engaged to lead the full integration: data model correlation, DWH impact assessment, specification writing, and delivery coordination.
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100+ Initiatives, Zero Disruption: Real-Time CreditLimit Sync in a Live Data Warehouse

Client: Leading Financial Services Group
IDS took on Project Manager, Business Analyst, and developer roles embedded directly in the client’s Group-driven change process, becoming the team trusted to translate incoming business and regulatory requirements into safe, tested changes to the platform.
Read more

Millions of Records a Day: Standardizing a Bank’s Data Warehouse at Scale

Client: Leading Romanian Retail Bank
IDS Consulting was brought in to develop, extend, and standardize the bank’s Data Warehouse — designing new data flows and raising the quality and consistency of the information feeding core business processes, while laying groundwork for the bank’s future cloud platform.
Read more

Legacy Oracle DWH to Cloud-Native Lakehouse

Client: A mid-size commercial bank
IDS designed a cloud-native lakehouse on Azure — Synapse for the warehouse layer, Data Factory for orchestration, Databricks for the transformation logic previously buried in PL/SQL — replacing monolithic batch jobs with modular, testable pipelines.
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A Unified Lakehouse for Demand Forecasting

Client: A pan-European grocery retail group
IDS built a lakehouse on Google Cloud — BigQuery as the analytical core, Dataflow for streaming and batch ingestion pipelines from POS, e-commerce, and supply chain systems — giving every division the same underlying demand signal for the first time.
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From Days to Minutes: An 8-Year Data Warehouse Transformation for a Leading Telecom Operator

Client: Leading Telecom Operator
IDS Consulting was brought in not for a single fix, but as an ongoing extension of the client’s Data Warehouse team. The mandate: modernize how data moved through the platform, and keep it evolving safely as the business — and the underlying infrastructure — kept changing around it.
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From Hadoop to Databricks: Scaling a Banking Data Platform Beyond Its Limits

Client: Banking Client
IDS Consulting was brought in to provide hands-on technical support and consultancy for the migration to Databricks.
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Migrating Without Missing a Beat: A New Data Warehouse Foundation for a Banking Controlling Team

Client: Leading Banking Institution
When the migration to the new DWH began, IDS took on the task of carrying that Datamart — and the business logic behind it — onto the new platform.
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One Platform, Two Data Worlds: A Big Data Analytics Mart for Banking Group Controlling

Client: Leading Banking Group
IDS designed and built a new analytical data mart purpose-built for Controlling, constructed entirely on big data technologies rather than the client’s Oracle stack.
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FROM LEGACY TO MODERN: How a Leading European Bank Modernized Its Data Platform with Databricks

Client: One of Europe’s established financial institutions
IDS Consulting embedded a dedicated team of senior data engineers directly into the bank’s department, working alongside internal teams as a seamless extension of their workforce.
Read more

Tell us where your platform is today

We'll map where it needs to go, what the migration path looks like, and how long it takes — based on what we've already delivered for clients in your industry.
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