01
Team experience
oladoc
Digital healthcare platform
Data Analyst
Healthcare analytics engineering for governed metrics, repeatable analysis and decision-ready datasets.
Technical profile +
- Dimensional analytics and metric modelling
- KPI governance, cohort and funnel analysis
- Data profiling, reconciliation and exception analysis
- BI-ready datasets and semantic definitions
SQLAnalytics EngineeringSemantic MetricsBI
02
Team experience
Buggy TLC
Mobility and fleet operations
Data Analytics Engineer
Operational analytics engineering across fleet, utilisation and performance domains.
Technical profile +
- Operational and fleet-domain modelling
- Reusable transformation and metric layers
- Performance, utilisation and variance analytics
- Source-to-model lineage and validation
ELTData ModellingMetric LayerData Quality
03
Team experience
Associated Press
Global news and media
Data Architect + Data Engineer
Enterprise data architecture and pipeline engineering for globally distributed content systems.
Technical profile +
- Canonical and domain-oriented modelling
- Batch, event and streaming integration patterns
- Metadata, lineage and schema-evolution concerns
- Pipeline orchestration, validation and observability
Data ArchitectureData EngineeringStreamingGovernance
04
Team experience
Trescal
Global calibration and precision services
Data Architect
Enterprise data architecture across asset, service and operational domains.
Technical profile +
- Enterprise and domain data modelling
- Master and reference-data architecture
- Warehouse and lakehouse target-state design
- Governance, lineage and quality-by-design
Data ArchitectureDomain ModellingLakehouseIntegration
05
Team experience
i2c
Banking and payments technology
Data Engineer
High-control data engineering for transaction-centric workloads where correctness and reconciliation matter.
Technical profile +
- Reliable ingestion and transformation pipelines
- Reconciliation, validation and exception handling
- Idempotent and recoverable pipeline patterns
- Least-privilege and secure data handling
Data EngineeringETL / ELTReconciliationObservability
06
Team experience
Coca-Cola / Thought Logic
Consulting delivery context
Data Engineer
Enterprise data-platform engineering for multi-source analytics and reusable common data models.
Technical profile +
- Multi-source enterprise data integration
- Automated transformation pipelines
- Common-model and analytics-ready structures
- Validation and operational monitoring
Enterprise DataData IntegrationAutomated PipelinesAnalytics Engineering
07
Team experience
NEOM
Transformation programmes
Data Engineering Projects
Cloud-scale data engineering patterns for complex, multi-domain transformation environments.
Technical profile +
- Multi-domain source integration
- Distributed batch processing
- Curated analytical data products
- Lakehouse, quality, lineage and platform controls
PySparkDistributed ComputeLakehouseCloud Platforms
08
Team experience
Zain KSA
Telecommunications
Data Engineering Projects
Telecom data engineering across high-volume operational and analytical workloads.
Technical profile +
- High-volume operational and network data
- Batch and streaming-oriented processing
- Incremental processing and CDC thinking
- Orchestration, monitoring and recoverability
Telecom DataPySparkBatch & StreamingCDC
09
Team experience
Engro Enfrashare
Telecom infrastructure
Data Engineering Projects
Infrastructure data engineering for site, asset and operational intelligence.
Technical profile +
- Site, asset and operational data integration
- Conformed dimensions and reusable domain models
- Data-quality controls and reconciliation
- Analytics-ready serving with traceable lineage
Operational DataData IntegrationDimensional ModellingData Quality
10
Team experience
Signal
Data and digital product environment
Data Engineering
Data engineering and analytical delivery supporting reliable product and operational data flows.
Technical profile +
- Source integration and transformation pipelines
- Analytics-ready modelling and reusable data products
- Data-quality checks, lineage and operational monitoring
- Documented handover and maintainable workflows
Data EngineeringAnalyticsData QualityObservability
11
Team experience
Emil Frey Group
Automotive and mobility enterprise
Data Engineering
Enterprise data-platform delivery across operational, commercial and analytical domains.
Technical profile +
- Enterprise source-system integration
- Reusable transformation and data-product patterns
- Analytics-ready serving and governed metrics
- Cloud platform, quality and operational controls
Enterprise DataCloud DataData ProductsGovernance