Service
Turn Raw Data Into Decisions
End-to-end data pipelines in Python, C#, and Apache Spark: extraction, transformation, validation, enrichment, and loading. Compliance-grade ETL for regulated industries, content and system migrations, Power BI dashboard development, and business analytics for SMBs. Every pipeline is documented and tested.
The Reality
What This Solves
These are the data problems that block decisions, fail audits, and cost time — in both enterprise and small business environments.
Data from multiple systems arrives in incompatible formats with no reliable pipeline
CBC databases, third-party APIs, delivery platforms, and internal exports all produce data in different shapes. Without a validated ETL pipeline that normalises and deduplicates at ingestion, every downstream report starts from an unreliable foundation.
Compliance reporting is done manually — slow, error-prone, and impossible to audit at scale
Regulatory requirements like Canadian Content (CanCon) MAPL logic, broadcaster compliance flags, and federal data standards can't be enforced reliably by hand across tens of thousands of weekly records. Manual workflows miss edge cases and create audit risk.
System migrations carry real risk of data loss without proper validation
Moving emails, documents, or content between platforms — Exchange, Adobe CMS, archival systems — without a structured extraction, transformation, and validation layer means errors compound silently. Post-migration cross-referencing catches problems your destination system won't.
Business decisions get made without access to the data that would improve them
Restaurants with thousands of delivery transactions, retailers with a million sales records — the raw data exists, but without an ETL pipeline and a Power BI dashboard, none of it becomes actionable. The gap between data and decisions is usually a pipeline problem.
How It Works
The Azure Clarity Framework
Whether the work is a compliance ETL pipeline, a system migration, or a Power BI dashboard, every engagement runs through the same four-phase model — current state documented before any work begins, target state approved before any build starts.
- Phase 01 — AssessWeek 1
Current State Documented and Baselined Before Touching Anything
The free cloud assessment isn't a sales call — it's a structured audit: Azure Advisor recommendations, cost and usage reports, stakeholder interviews, and a documented performance and security baseline. You receive a current-state picture before scope is discussed.
- Azure cost baseline report with idle and over-provisioned resource inventory
- Architecture review document against the Well-Architected Framework pillars
- Risk and security register — open findings prioritised by severity
- Proposed engagement scope and ROI estimate — no obligation to proceed
- Phase 02 — ArchitectWeeks 2–3
Target State Designed, Reviewed, and Approved Before Any Work Begins
Target-state architecture is designed using the Cloud Adoption Framework as the structural backbone and the Well-Architected Framework as the quality gate. Every design decision is documented with the rationale. Nothing gets built until the architecture has passed review and received client sign-off.
- Target architecture diagram (network topology, identity, governance, environment layout)
- WAF review report with specific remediation items mapped to implementation phases
- Prioritised roadmap: phased delivery plan with effort estimates and dependency order
- Security baseline specification (NSG rules, IAM roles, Key Vault policies)
- Phase 03 — ImplementWeeks 4–10
Phased Delivery — Infrastructure First, Workloads Second, Automation Throughout
Implementation follows the approved roadmap in two-week sprints with a written summary at each milestone. ARM templates and Azure DevOps pipelines are used for every resource so your team has full visibility and can operate independently. Workloads are promoted through DEV → SIT → UAT → PROD — no skipping steps.
- Azure environment deployed via ARM templates with full version history in Azure DevOps
- CI/CD pipeline configured on Azure DevOps — automated build, test, and deploy
- Workloads migrated and validated against defined acceptance criteria per environment
- Security findings from Phase 01 remediated and verified before handover
- Phase 04 — Validate & HandoverWeeks 11–12
You Own It — Fully Documented, Benchmarked Against the Baseline, and Operated by Your Team
Every KPI established in Phase 01 is closed out, all documentation is delivered, and a structured knowledge transfer ensures your team operates the environment independently. A 30-day post-handover support window is included in every engagement to catch anything that surfaces in production.
- Performance and cost report benchmarked against the Week 1 baseline — measurable outcomes
- Operational runbooks and architecture decision records (ADRs) for every component
- Two-session knowledge transfer workshop with your technical team
- 30-day post-handover support window included at no additional cost
Verified Results
Related Work
The CRTC Canadian Content compliance platform is the clearest example of what a production-grade data engineering engagement looks like: a full ETL pipeline ingesting, normalising, and validating broadcaster metadata at scale, with MAPL compliance logic and SQL Server as the foundation.
CRTC Canadian Content compliance platform — automated ETL pipeline replacing manual workflows across 50,000+ weekly broadcaster records
- Before
- ManualError-prone manual compliance checking across CBC databases, Quansic, and MusicBrainz — couldn't scale to broadcaster data volume
- After
- 50% faster50% improvement in data insertion speed after batch SQL processing and in-memory caching — scalable to 50,000+ weekly records with automated MAPL compliance logic
Tech Stack and Engagement Scope
Tech Stack
What This Is Built With
Engagement Scope
Who This Is For
Government and enterprise organizations needing compliant data infrastructure, and SMBs that want to understand their business data through clean pipelines and visual dashboards.
- End-to-end pipeline design and build — extraction, transformation, validation, enrichment, and loading across relational and cloud databases
- Compliance-grade ETL for regulated industries: MAPL logic, ISRC/ISNI tracking, broadcaster compliance flags, and audit-ready reporting
- Content and system migrations with post-migration cross-referencing to verify zero data loss
- OCR pipelines for document digitization — Tesseract-based extraction with gibberish removal, metadata enrichment, and validation against external APIs
- Power BI dashboard development with DAX measures covering product performance, time-based patterns, and payment analysis
- Business analytics for SMBs using real transaction data from delivery platforms, POS systems, or CSV exports
- Full pipeline documentation and test coverage delivered as part of every engagement — not an optional add-on
- 30-day post-handover support window included at no additional cost
Get Started
Book Your Free Cloud Assessment
No commitment required. Your Azure environment is audited, the highest-impact opportunities are identified, and a prioritised roadmap is delivered — in writing, within five business days.
What Happens Next
You'll receive a response within one business day to confirm the assessment slot.
The assessment takes 2–3 hours. You receive the written report within five business days.
If the scope aligns, a fixed-fee proposal is scoped to the approved roadmap. No open-ended retainer, no surprise invoices.
Send a Message
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