Connected platform experience Enterprise data architecture Focus or hover a technology to see how it connects to my work.

Independent Database Architect & Consultant

Database Architecture,
Cloud Migration &
Database Engineering.

I design, modernize, migrate, and optimize enterprise data platforms across SQL Server, Azure, Oracle, Snowflake, and data-engineering ecosystems.

16+Years across enterprise database platforms
20 TBSQL Server to Azure SQL MI migration led
50+Azure Data Factory pipelines delivered
45%Reduction in nightly ETL processing time

Three ways I create value.

From an early architecture decision through production operations, I help teams make database platforms dependable and easier to evolve.

01

Database
Architecture

Enterprise schema design, data modelling, platform modernization, performance architecture, security, HA/DR, and technical governance.

  • Architecture assessment
  • Data platform design
  • Standards and reviews
02

Migration
Consulting

Target architecture, dependency analysis, migration planning, validation, production readiness, and controlled cutover.

  • SQL Server to Azure
  • Oracle to AWS
  • Risk and readiness planning
03

Database
Engineering

SQL development, performance tuning, ETL and data pipelines, DBA automation, monitoring, and production troubleshooting.

  • Performance engineering
  • SSIS and ADF pipelines
  • PowerShell DBA automation

Architecture told through outcomes.

Case studies make the work understandable to recruiters while giving technical interviewers enough depth to start a serious conversation.

Case study 01Cloud modernizationEnterprise retail engagement

The mandate

Move a 20 TB SQL Server estate to Azure with operational confidence.

Led assessment, target design, dependency planning, migration controls, validation, production readiness, and delivery coordination for SQL Server to Azure SQL Managed Instance.

SQL ServerAzure SQL MIADFMigration
20 TBMigration led
50+ADF pipelines
SQL Server estateAssessment & controlsAzure SQL MIProduction validation
Case study 02

ETL performance engineering

Reworked database and package-level bottlenecks to reduce a critical processing window from approximately three hours to under 40 minutes.

Before~3 hoursAfter<40 minutes

What I’m working on now.

Active consulting, production engineering, and AI-assisted builds that show how I turn architecture decisions into working outcomes.

Active consulting

ENGAGEMENT / 01

Independent database architecture consulting

Partnering with delivery teams on database architecture, cloud migration, performance engineering, and automation.

Role
Database Architect & Consultant
Current focus
Architecture and production delivery
Client-safe detail
More information to confirm
Production

INITIATIVE / 02

High availability platform rollout

Always On Availability Groups and Windows Server Failover Clustering work progressed from pre-production into production.

Focus
HA/DR and operational readiness
Platform
SQL Server · WSFC
Outcome
Details to confirm

Ideas turned into working software.

AI-assisted projects built with hands-on architecture, database, integration, testing, and delivery decisions. Each project will document the problem, solution, technology stack, and progress.

Next build02

Project slot

Your next Vibe Coding project

Add the business problem, what you built, your technical decisions, and a measurable result.

Project details to be added
Next build03

Project slot

Another practical build

Use this space for an automation, data utility, internal tool, or client-safe prototype.

Project details to be added
+

Add every Vibe Coding project here using the same format: problem, solution, architecture, technology, current milestone, and outcome.

Database engineering across the full delivery path.

Select a technology to see how it supports my architecture, migration, engineering, automation, and reporting work.

01 Database platforms

02 Data engineering and ETL

03 Cloud and integration

04 Languages and automation

05 Reporting and analytics

06 DevOps and delivery

Microsoft credentials, independently verifiable.

Current database and AI credentials are highlighted first. Previously earned Azure credentials remain visible as part of my professional history.