01
Connect
Bring together fragmented data, platforms, teams, and workflows to create a reliable foundation for operations and reporting.
Business Transformation · Data Integration · Process Automation
I simplify complex business operations through data, systems, and automation.
Technical Business Analyst with 6+ years of experience bridging business requirements and technical delivery across enterprise data integration, business systems and process automation. I simplify manual and fragmented operations by connecting data, streamlining workflows and building practical automation.
Connected Business System
Live FlowFragmented Inputs
Retail Files
Excel / CSV
Emails
Inboxes
Google Sheets
Operations
Other Sources
API / DB
Automated Ingestion
Apps Script · Fivetran
Snowflake
Centralized Data Hub
Salesforce
Operations
Tableau
Reporting
Fragmented Inputs → Reliable Outcomes
Business Transformation Simulator
See how I approach a fragmented business process.
Start with a process built around manual steps, disconnected tools, and repeated intervention. Then redesign the workflow around reliable integration and automation.
Current Process
ManualEmail attachments
Attachments handled manually
Excel files
Different formats and structures
Manual copying
Repeated copy-and-paste work
Database exports
Technical intervention required
Manual Processing
Queries, exports, checks and uploads
Operational Impact
×
Repeated manual effort
×
Higher error risk
×
Slow reporting
×
Key-person dependency
The process works—but only through continued manual effort.
How I create value
From operational complexity to scalable business systems.
I work across business operations and technology to identify inefficiencies, connect fragmented information, and create reliable processes that are easier to operate and scale.
02
Simplify
Replace repetitive, manual, and error-prone processes with clear, manageable workflows supported by practical automation.
03
Scale
Build reusable systems and processes that can support more users, markets, clients, and data without proportional manual effort.
How I Think
I don't start with technology.
I start with understanding the business.
Every business has manual work that people quietly accept as "the way things are." My approach is to identify those bottlenecks, understand why they exist, and redesign the workflow before choosing the right technology to support it.
Business First
Solve the real problem.
Technology should support business operations—not become another problem people need to work around.
Systems Thinking
Improve the workflow, not just the task.
I redesign how information moves through a business instead of simply automating individual manual steps.
Sustainability
Build solutions that keep working.
Good systems should remain reliable, understandable, and easy to support long after the original project is finished.
Featured Case Studies
Real production systems. Real architectural decisions.
Three projects demonstrating operational transformation, production architecture design, and internal platform engineering.
Retail Data
Multiple sources
Manual Inputs
Files & mappings
Snowflake Transformation
Transform, validate & consolidate
Ops Systems
Standardized output
Analytics
Reporting
01 · Operational Transformation
Data Integration & Process Automation
Retail Operations Automation Platform
A fragmented weekly retail-data workflow involving multiple sources, manual transformations, operational-system imports, and reporting was redesigned into a scalable Snowflake-based platform.
Weekly processing reduced from ~2 days to ~2 hours
SnowflakeSalesforceTableauSQLPython
Read case study
Shared Model
Existing structure
Channel Type Evolution
Separating retailer identity from context
Consumer Path
Independent context
Business Path
Independent context
Standardized reporting output
02 · Architecture Evolution
Data Architecture & Systems Transformation
Evolving a Production Data Architecture
A live retail-reporting architecture was redesigned to separate retailer identity from channel context while protecting historical reporting, production procedures, and downstream analytics.
New reporting dimension introduced without breaking continuity
SnowflakeTableauSQLData ModellingValidation
Read case study
Legacy Finance System
Fragile machine-dependent workflow
Web Platform (Python / Flask)
Centralized browser-accessible integration
Snowflake
Centralized data
Business Users
Browser access
03 · Internal Platform Engineering
Business Systems & Data Integration
Internal Finance Integration Platform
A fragile, machine-dependent finance synchronization process was rebuilt as a browser-accessible internal platform that centralized data in Snowflake and simplified operations.
Manual technical workflow replaced by a browser platform
PythonFlaskSnowflakeSQLAutomation
Read case study
Beyond my core work
Learning by building.
I like understanding new technology well enough to see where it could actually be useful. CommercePilot started with that kind of curiosity.
AI Operations LabInteractive learning project
CommercePilot
Built to understand how AI agents actually work.
I kept encountering AI agents in technology conversations and wanted to understand what actually makes a system agentic. Rather than only reading about them, I built CommercePilot — a hands-on experiment in how an agent can observe business signals, investigate a problem, make a controlled decision, act, evaluate the result and retain what it learns.
Synthetic business scenariosGuardrailsDecision memory
Launch interactive demoAgent decision cycle
Conversion Performance Decline
✓
Observe
✓
Investigate
3Current
Decide
4
Act
5
Evaluate
6
Learn
Controlled decision
Create Product Messaging Experiment
Decision passes defined guardrails before simulated execution.
About My Work
I work at the intersection of business operations, data, and systems.
My role is often to translate between what the business needs and what technology can realistically deliver, then turn that understanding into a practical operating model.
01
Business Perspective
Understand the operation before designing the solution.
I begin by learning how work actually moves through the business, where people compensate for broken processes, and which dependencies create unnecessary risk.
02
Integration Mindset
Connect systems around the workflow.
The goal is not simply to move data. It is to make information arrive where it is needed, in the right structure, with less manual intervention.
03
Operational Reliability
Build for the people who will run it.
A successful solution should be understandable, maintainable, and reliable enough to continue working without constant specialist support.
How My Work Has Evolved
Excel & Manual OperationsPower QuerySalesforce & Business SystemsSnowflake / SQL / PythonAutomationAI-assisted Delivery
The technology has evolved, but the objective has remained consistent: understand the business problem, improve how information moves, and make operations more reliable and scalable.
The best systems are often the ones people barely notice. Information flows naturally, repetitive work disappears, and the business can focus on what matters.
Contact
Good systems begin with a clear understanding of the problem.
I value thoughtful conversations around business transformation, data integration, process automation, and the systems that support reliable operations.