💼 Professional Services

Data Engineering & Analytics Services

13+ years turning messy, scattered data into pipelines, warehouses and dashboards businesses actually rely on. Every service below has its own page with packages, pricing approach and FAQs — available as fixed-price projects, retainers and consulting, remote worldwide or on-site across the UK.

Services

📊
20+ environments delivered

Interactive Power BI dashboards and enterprise reporting built on solid semantic models. From exec-level KPI views with drill-through to operational paginated reports, secured with row-level security.

  • Data modelling: tabular & multidimensional (SSAS), Power Pivot
  • Advanced DAX measures, drill-through and bookmark navigation
  • Paginated reports with SSRS / Power BI Report Server
  • Row-level security and workspace governance
  • Report performance tuning and dataset optimisation
Built with
Power BIDAXPower QuerySSAS TabularSSRS / PBIRSMicrosoft Fabric

Scalable, monitored data pipelines that move data from any source into your warehouse or lakehouse — built cloud-first on Azure and deployed through CI/CD so releases are repeatable and safe.

  • Azure Data Factory & Databricks pipeline design
  • SSIS / SSDT packages for on-prem SQL Server estates
  • Python (Pandas) and Spark transformations at scale
  • Incremental loads, change detection and error alerting
  • CI/CD deployment via GitHub / Azure DevOps
Built with
Azure Data FactoryDatabricksSSISPythonApache SparkT-SQLCI/CD
🏛️

Dimensional data warehouses and modern lakehouse architectures designed for query speed and maintainability — proven on a 5.6M-component NSN warehouse for a US client.

  • Star & Snowflake schema dimensional modelling
  • Delta Lake / lakehouse architecture on Azure
  • Schema optimisation, partitioning and indexing strategy
  • Views, functions and stored procedures for clean consumption
  • Migration from spreadsheet / legacy database estates
Built with
Star SchemaSnowflake SchemaDelta LakeSynapse AnalyticsSnowflakeT-SQL
🧱

Move legacy reporting and data platforms onto Microsoft Fabric for one unified analytics estate: OneLake storage, semantic models, real-time streams and Power BI in a single governed platform.

  • Migration assessment and phased roadmap
  • Lakehouse & warehouse setup in OneLake
  • Semantic model rebuild and Direct Lake optimisation
  • Real-Time Intelligence: Event House, KQL & streaming data
  • Capacity planning and workspace governance
Built with
Microsoft FabricOneLakeEvent HouseKQLReal-Time AnalyticsPower BI
🕸️

Reliable automated data collection from websites and APIs — competitor pricing, product catalogues, market research datasets — cleaned and delivered to CSV, a database, or straight into a dashboard.

  • Python scrapers with Selenium & BeautifulSoup
  • API integration where available (faster & more stable)
  • Scheduled runs with change detection and alerting
  • Cleaning, deduplication and structured delivery
  • Respectful scraping: rate limits & site terms observed
Built with
PythonSeleniumBeautifulSoupRequests / RESTPandasCron / Scheduler

Turn hours of manual spreadsheet work into one click. Macros, VBA and Google Apps Script that automate reporting, consolidation and data entry — proven across payroll and budget reporting for 345 institutions.

  • VBA macros for recurring report generation
  • Google Apps Script workflows across Sheets / Gmail / Drive
  • Power Query & Power Pivot data models inside Excel
  • Cross-workbook consolidation and validation routines
  • Documentation and handover so your team can maintain it
Built with
ExcelVBAPower QueryPower PivotGoogle Apps ScriptMicrosoft Access
🛡️
600+ tables audited

Find, classify and protect personal data across your estate. Data masking, role-based access and metadata lineage that stand up to regulatory scrutiny — delivered for estates of 600+ tables.

  • Sensitive-data discovery and classification
  • Data masking & RBAC implementation
  • Metadata lineage for regulatory traceability
  • Azure Purview setup and governance workflows
  • Automated compliance checks across big data environments
Built with
Azure PurviewData MaskingRBACMetadata LineageSQL ServerAzure DevOps
🧹
20K+ bad records caught

Deduplicate, standardise and validate messy spreadsheets, CRM exports and databases — with GDPR-compliant masking available. Delivered as repeatable scripts, not one-off manual fixes.

  • Deduplication with exact & fuzzy matching
  • Date, address, phone & currency standardisation
  • Database-level cleansing in SQL Server / PostgreSQL
  • GDPR masking & anonymised dataset generation
  • ML-ready preparation with documented pipelines
Built with
Python / PandasT-SQLFuzzy MatchingMicrosoft PurviewExcel
🛍️

Shopify-ready product CSVs built to the exact import spec, automated vendor catalogue pipelines and cross-platform stock sync — drop them into your store admin with no reformatting and no errors.

  • Product CSVs validated against Shopify’s import spec
  • Vendor catalogue → store pipelines on a schedule
  • Inventory sync across POS, WooCommerce, eBay & Amazon
  • Metafields, variants & collection mapping handled
  • Bulk price & stock update files
Built with
ShopifyPythonREST / GraphQL APIsCSV Automation

How It Works

1 📧
Describe Your Problem

Email a short description of what you need — the data you have, the outcome you want. No formal spec required; a few sentences is enough to start.

2 📋
Free Scoping & Fixed Quote

I’ll come back with questions, a proposed approach, timeline and a fixed quote — or a retainer option for ongoing work. No obligation.

3 🚀
Build, Deliver & Support

Work is delivered in agreed milestones with demos along the way. Everything is documented and handed over — you own the code, models and reports.

Not sure which service fits?

Describe your data problem in plain English and I’ll tell you the simplest way to solve it — even if that means less work than you expected to buy.

Get In Touch

FAQ

Both. I’m based in the Greater Leeds Area and can work on-site across the UK (full UK driving licence). Remote delivery works worldwide — most pipeline and dashboard projects are delivered fully remotely.
Fixed quote per project after a free scoping conversation, or a monthly retainer for ongoing work like pipeline maintenance and report development. You’ll always know the cost before any work starts.
Yes. I work across the Microsoft stack (SQL Server, SSIS/SSAS/SSRS, Azure, Fabric, Power BI), Databricks, Snowflake, Python and Google Workspace — and I design around what you already have rather than forcing a re-platform.
You do. All code, pipelines, models, reports and documentation are handed over at the end of the project, with a walkthrough so your team can run and extend them.