Data Engineering & Platforms
Data Engineering

Build reliable data pipelines, warehouses, lakes and platforms that teams can trust.

Ingestion
ETL / ELT
Quality
Data Engineering & Platforms trusted data flow → stronger reporting foundations
Data pipelines
Warehouses
Lakes / Lakehouses
Reporting foundations
Problems to Mention

Problems DataGridz solves across engineering and platforms.

ETL failures

Broken or unreliable data movement creates delays, rework and reporting gaps.

Duplicated data

Duplicate datasets create confusion, storage waste and inconsistent business logic.

Manual Excel reporting

Teams spend time cleaning, combining and checking spreadsheets manually.

Inconsistent business reports

Different dashboards and teams show different versions of the truth.

Slow data processing

Delayed pipelines and batch-heavy workflows slow reporting and analytics.

Inability to scale analytics

Legacy foundations cannot support growing data, users and business intelligence needs.

Swipe problems
What to Include

The engineering and platform work inside Data Engineering & Platforms.

Data ingestion

Move data from source systems into reliable engineering foundations.

ETL / ELT

Transform and prepare data for reporting, analytics and operational use.

Data warehousing

Create structured data foundations for trusted business reporting.

Data lakes / lakehouses

Support scalable storage and analytics across large enterprise data estates.

Data marts

Organise business-ready data for teams, departments and specific use cases.

Data quality

Improve accuracy, consistency, validation and trust in business data.

MDM

Create cleaner master data for customers, products, locations and core entities.

Real-time data flow

Enable faster movement of data for timely analytics and operational visibility.

Reporting foundations

Build trusted datasets that BI, dashboards and analytics teams can rely on.

Swipe services
Business Outcomes

Outcomes created by stronger data engineering foundations.

Accurate reporting

Teams work from cleaner, trusted and more consistent business data.

Faster decision-making

Better data flow helps leaders access timely information faster.

Reduced manual effort

Less spreadsheet work, manual reconciliation and repetitive reporting clean-up.

Cleaner data flows

Data moves through clearer, more reliable and governed pipelines.

Stronger business intelligence foundations

BI teams get a better platform for dashboards, analytics and insight delivery.

Swipe outcomes
Proof to Connect

Relevant proof for data engineering and platform modernisation.

Health Insurance

Health insurance data remediation

Relevant proof for ETL cleanup, data quality and faster claims reporting foundations.

Data remediation
F&B

F&B data management

Relevant proof for cleaner operational data, unified reporting and business-ready data flows.

Data management
Telecom

Telecom data lake deployment

Relevant proof for scalable lake foundations, high-volume processing and analytics readiness.

Data lake deployment
Swipe proof