Retail lakehouse stabilisation
Optimised ingestion & modelling across billions of rows, improving report freshness and platform reliability.
- Throughput up, failures down
- Faster time-to-insight for BI
- Clear runbooks & monitoring
Data engineering that delivers real-world impact
We design, build, and operate dependable data platforms—turning fragmented data into trustworthy, actionable assets. From ingestion to BI, we keep reliability, scalability, and cost-efficiency front and center.
What you get
- Robust ingestion & ELT pipelines
- Clean, modelled data layers (bronze → gold)
- Data quality, lineage, and governance baked in
- Performance & cost optimisation with monitoring
- BI-ready outputs for Power BI & analytics
Data engineering services
Engagements tailored to where you are—greenfield builds, platform modernisation, or focused optimisation sprints.
Platform modernisation
Migrate from legacy SQL/SSIS to modern lakehouse patterns with Delta and medallion layers.
- Landing zones & security baselines
- OneLake/ADLS, Warehouses, Lakehouses
- Cost-aware storage & compute design
Ingestion & ELT pipelines
Reliable, observable data movement—batch and streaming—designed for scale.
- APIs, files, DB replication, CDC
- Config-driven orchestration
- Retry, idempotency, alerts
Data quality & governance
Trustworthy datasets with rules, profiling, lineage, and audit controls.
- Schema evolution & contracts
- DQ checks, validation, quarantine
- Metadata, lineage, and stewardship
Performance & cost tuning
Speed up pipelines and reduce spend—without sacrificing reliability.
- Partitioning, z-order, caching
- Query/profile analysis
- Right-sizing & auto-scaling
Real-time & streaming
Low-latency data for operational visibility and event-driven workflows.
- Kafka/Event Hubs architectures
- CDC → curated gold feeds
- Exactly-once semantics
BI-ready modelling
Curated, documented datasets ready for Power BI and analytics teams.
- Dimensional & domain models
- Semantic layer handover
- Performance-optimized outputs
Our approach
Lightweight governance, fast iterations, and measurable outcomes. We deliver in weeks—not months.
-
01
Discover
Goals, constraints, data landscape.
-
02
Design
Target architecture & roadmap.
-
03
Build
Pipelines, models, observability.
-
04
Validate
DQ rules, tests, UAT sign-off.
-
05
Operate
Runbooks, SLAs, cost controls.
-
06
Evolve
New sources, features, scale.
Platforms & skills
Microsoft Fabric
Azure Synapse
Databricks
Delta Lake
ADLS / OneLake
SQL / T-SQL
PySpark
Power BI
APIs & Integrations
Orchestration
Streaming
Governance & DQ
Proven outcomes
We help teams move faster with less risk—unlocking reliable reporting, better customer insights, and lower TCO.
Marketing data unification
APIs, ads, and CRM sources unified into gold models powering campaign and funnel analytics.
- Reliable source-to-decision flow
- DQ checks & data contracts
- Lower cost per insight
Operations in near real-time
Event-driven pipelines deliver fresh operational metrics with robust SLAs and observability.
- Streaming + CDC patterns
- Exactly-once guarantees
- Audit, lineage, alerts
About EG Industries
We’re a South African consultancy focused on durable engineering. Our principles are simple: clarity (plain decisions and docs), reliability (observability and SLAs), and scalability (design for growth and cost).
FAQs
How do you start engagements?
We begin with a short discovery to confirm goals and constraints, then propose a roadmap with quick wins and a fixed first sprint.
Do you work with our existing stack?
Yes. We integrate with your tools and standards. We focus on interoperability and clear handover.
What does handover look like?
Runbooks, docs, and knowledge transfer sessions. We design for maintainability from day one.