Services & Solutions

Comprehensive data engineering and cloud architecture services tailored to your enterprise needs

01
Service 1

Data Strategy & Architecture

End-to-end data strategy development and enterprise architecture design that aligns technical solutions with business objectives.

What's Included:
Data platform assessment and roadmap
Cloud architecture design (Azure, multi-cloud)
Data governance framework development
Technology stack selection and optimization
02
Service 2

Data Engineering Solutions

Scalable data pipeline development and lakehouse architecture implementation for enterprise-grade data platforms.

What's Included:
ETL/ELT pipeline design and implementation
Data lakehouse and warehouse architecture
Real-time streaming data processing
Data quality and monitoring frameworks
03
Service 3

ML & AI Engineering

End-to-end machine learning solutions from model development to production deployment with MLOps best practices.

What's Included:
ML model development and optimization
Generative AI and LLM integration
MLOps CI/CD pipeline implementation
Model monitoring and governance

Technology Expertise

Industry-leading platforms and tools I work with

Cloud Platforms
Azure Expert
AWS Advanced
Data Platforms
Databricks Expert
Synapse Expert
Data Factory Expert
Spark Expert
AI & ML
Azure OpenAI Expert
Azure ML Expert
TensorFlow Advanced
PyTorch Advanced
BI & Analytics
Power BI Expert
DAX Expert
Power Query Expert

My Approach

A proven methodology for delivering successful data projects

01
Discovery & Assessment
  • Business objectives analysis
  • Current state assessment
  • Technical landscape review
  • Gap identification
02
Design & Planning
  • Architecture design
  • Technology selection
  • Roadmap development
  • ROI projection
03
Implementation
  • Agile development
  • CI/CD integration
  • Quality assurance
  • Documentation
04
Deployment & Support
  • Production deployment
  • Team training
  • Monitoring setup
  • Continuous optimization

Proven Results

Real outcomes from enterprise data projects

75%
Reduction in Manual Reporting Time
30%
Operational Cost Reduction
40%
Improved Risk Assessment Accuracy
100+
Data Sources Unified
View Detailed Case Studies

Frequently Asked Questions

Common questions about working together

I specialise in enterprise-scale data engineering projects including data platform modernization, cloud migration, ML pipeline development, and end-to-end data architecture. My work typically involves Azure-based solutions for Fortune 500 companies and large enterprises requiring robust, scalable systems.

I currently lead a team of 9 data engineers and can scale resources based on project needs. For smaller projects, I work directly as an individual contributor. For larger enterprise initiatives, I can assemble and lead dedicated project teams with the right mix of expertise.

I offer flexible engagement models including project-based consulting, retained advisory services, and fractional leadership roles. Engagements typically start with a discovery phase to understand your needs, followed by architecture design and implementation. I believe in delivering value quickly with iterative, Agile approaches.

Every project begins with clear business objectives and success metrics. I focus on delivering measurable outcomes - not just technology implementation. My approach includes regular stakeholder communication, iterative delivery for quick wins, and robust monitoring to track ROI. Past projects have delivered cost reductions of 30%, efficiency gains of 75%, and improved analytical capabilities of 40%.