Data • AI • Cloud • Architecture

I turn complex business problems into intelligent technology systems.

I'm Sadurshan Punithasegaram — a technology professional working across data engineering, solutions architecture, cloud platforms, automation and enterprise systems.

From data pipelines and APIs to cloud architecture and AI-enabled workflows, I connect business requirements with scalable technical solutions.

Explore My Work Download Resume Let's Connect →

Currently exploring: Data Engineering • AI Platforms • Solutions Architecture

System flow

live

The short version

Technology is only valuable when it solves the right problem.

I work at the intersection of technology, data and business.

My experience spans enterprise application platforms, data workflows, backend development, cloud environments, automation, technical business analysis and solution design.

Working within insurance technology has given me exposure to complex operational workflows, compliance-sensitive data, integrations and regional business requirements.

My focus today is building scalable data and technology platforms that transform fragmented information into reliable systems and useful intelligence.

Business ProblemArchitectureDataAutomationIntelligence

Years across technology & enterprise systems

38%

Operational efficiency improvement

68%

Manual workload reduction through automation

$1.8M

Business impact from enterprise solutions

Regional markets supported

7.9%

Revenue improvement through data-driven solutions

Capability map

How I Think About Technology

Six connected domains. Select one to see the technologies behind it and where it shows up in real business work.

Data Engineering

Turning fragmented enterprise information into reliable, queryable sources of truth.

Connected technologies

PythonSQLData ModellingData PipelinesData QualityData GovernanceSnowflakePostgreSQLMSSQLMongoDBMySQL

Example business applications

Structuring platform data into governed, reportable datasets
Transformation workflows feeding operational reporting
Data integrity checks across regional applications

Selected work

Systems, projects and products

Case studies, enterprise systems built inside companies, and live products running in production — all in one place.

Case study 01

Building a Trusted Data Layer for Insurance Operations

Data Engineering / Data Governance / Enterprise Systems

Enterprise insurance data can become fragmented across applications, regional operations and legacy systems, making reporting, integrations and operational decisions difficult.

Reliable data flow
Improved data integrity
Improved cross-functional visibility
Structured governance

Problem

Enterprise insurance data can become fragmented across applications, regional operations and legacy systems, making reporting, integrations and operational decisions difficult.

Approach

Designed and maintained Python and database workflows while helping structure fragmented platform data into reliable, queryable sources of truth.

Architecture

01Regional Applications

02APIs / Integrations

03Data Transformation

04Database Layer

05Governed Data

06Reporting / Business Decisions

Technologies

PythonSQLMSSQLPostgreSQLMongoDBSnowflakeAPIsAzure

Case study 02

From Manual Operations to Automated Digital Workflows

Automation / Integration / Business Transformation

Manual operational processes created unnecessary workload, inconsistency and operational risk.

68% reduction in manual workload
$1.8M business impact

Problem

Manual operational processes created unnecessary workload, inconsistency and operational risk.

Approach

Designed automation workflows and integrated middleware systems to replace manual processes with reliable digital workflows.

Architecture

Manual

01Emails

02Spreadsheets

03Human Processing

04Delays

05Errors

Automated

01Trigger

02API

03Workflow

04Validation

05Database

06Business Outcome

Technologies

PythonSQLUiPathAutomation AnywhereAPIsMiddleware

Case study 03

Enterprise Cloud & Platform Modernization

Solutions Architecture / Cloud / DevOps

Established platforms need a path to the cloud that protects availability and security while improving delivery speed.

Scalability
Availability
Security
Maintainability
Operational resilience

Problem

Established platforms need a path to the cloud that protects availability and security while improving delivery speed.

Approach

Approach modernization as a sequence: assess the existing platform, design architecture and integrations, migrate, align security, automate delivery and keep improving.

Architecture

01Existing Platform

02Technical Assessment

03Architecture & Integration Design

04Cloud Migration

05Security Alignment

06CI/CD

07Monitoring & Continuous Improvement

Technologies

AzureAWSDockerTerraformAzure DevOpsCI/CD

Case study 04 · Academic Research

AI-Powered Optimization

AI / Data / Research

Warehouse operations carry avoidable cost when decisions are made without data-informed optimization.

Research foundation in AI system design
Optimization-led thinking applied to operations

Problem

Warehouse operations carry avoidable cost when decisions are made without data-informed optimization.

Approach

Academic research project — AI-Powered Warehouse Optimization System — exploring data ingestion, optimization models and AI-assisted decision making. This is research, not production AI experience.

Architecture

01Data Ingestion

02Optimization Model

03AI-Assisted Decisions

04Operational Efficiency

05Cost Reduction

Technologies

PythonSQLAI/ML ConceptsData Modelling

Live build · Corporate web platform

live

RSAF General Trading LLC

rsafllc.com

A Dubai-based trading company platform presenting import, export and distribution services across multiple industries, with a focus on quality, compliance and trade credibility.

Designed and developed the full website end to end
Structured content and navigation around real business services and markets
Built for performance, responsive layouts and search visibility

Web DevelopmentResponsive UISEOHosting & Deployment

Visit live site

Enterprise system

confidential

Finance Forecasting System

A finance forecasting system that analyzes historical financial data to predict future trends, expenses and revenue — helping the business make data-driven decisions on cash flow, budgeting and investment planning.

Predicts financial trends, expenses and revenue from historical data
Identifies potential risks and optimizes resource allocation
Improves financial stability and overall financial performance

Data AnalysisForecastingFinancial DataPythonSQL

Enterprise system

confidential

Hot Seat Selection Mobile App

A mobile app for dynamically choosing and reserving seats across offices and co-working environments, with a real-time seat availability view for selecting, booking or swapping seats.

Real-time seat availability with automated seat allocation
QR code check-ins and reservation notifications
Efficient space utilization with fewer seating conflicts

Mobile AppReal-time AvailabilityQR Check-inNotifications

Enterprise system

confidential

Stationery Management System

A stationery request management system where employees submit requests through the system or via email, with in-system approvals and automatic stock level updates.

Request submission via system or email with approval workflows
Automatic stock level updates on approval
Low-stock threshold triggers automated restocking email alerts

Workflow AutomationStock ManagementEmail IntegrationApprovals

Enterprise system

confidential

Transport Management System

A transport management system to plan, track and manage transportation operations — scheduling and assigning vehicles, monitoring fleet movement in real time and managing driver logs.

Route optimization, fuel tracking and delivery status updates
Real-time fleet monitoring and driver log management
Reduced operational costs and improved delivery accuracy

Fleet TrackingRoute OptimizationLogisticsReal-time Monitoring

Enterprise system

confidential

Gatepass Management System

A gatepass management system tracking vehicle and personnel movement in real time — recording entry and exit details, verifying access permissions and maintaining security logs.

Real-time entry/exit tracking with access permission verification
Power BI live dashboard for visitor activity, vehicle flow and incidents
Trend monitoring and reporting for security and operations teams

Power BILive DashboardsSecurity LogsAccess Control

Architecture Lab

Patterns I design with

Select a pattern to render the architecture. These are the shapes most enterprise problems eventually take.

Sources

API / Ingestion

Validation

Transformation

Data Warehouse

Semantic Layer

BI / AI

A governed path from raw source systems to decisions people actually trust.

Track record

Experience

Six years across enterprise systems — from software development and business analysis to data workflows and cloud environments.

2023 – Present

Howden Insurance Brokers

Senior Support Engineer – Business Applications

Dubai, UAE

Promoted from Application Developer

Python and database workflows
Data integrity and governance
Enterprise integrations
Azure environments
CI/CD
Insurance technology
Regional stakeholder collaboration
Technical solution discussions
Operational optimization

Arimac Lanka

Technical Business Analyst & Project Manager

Technical solution design
Data-driven models
Stakeholder workshops
KPIs
Requirements
Implementation roadmaps
Revenue-focused solutions

Logicare

Software Developer

Backend applications
Python / SQL
Middleware integration
Automation
Digital transformation
Enterprise systems

Boost Hotel Software Solutions

Intern Software Support Engineer

Requirements
QA automation
Monitoring
Production risk identification

Positioning

Why I'm different

Most technologists specialise in one layer. I work across the business, architecture, data and outcomes — and that intersection is where real value gets built.

I understand the business.

Not just the technology. I understand requirements, workflows, stakeholders, KPIs and operational constraints.

I understand the architecture.

I think beyond individual applications and consider integrations, scalability, cloud, security and maintainability.

I understand the data.

I work with databases, data modelling, pipelines, validation, governance and business intelligence.

I build for outcomes.

Technology should improve efficiency, reduce risk, increase reliability or create measurable business value.

The intersection

Business thinking × Engineering depth × Architecture rigour × Data fluency

That combination is rare — and it is what lets me turn ambiguous business problems into clean, scalable, measurable technology systems.

Domain context

Enterprise Technology, with Insurance Domain Context

Working inside insurance technology means building in a complex, regulated business environment — where data, workflows and integrations carry real operational and compliance weight.

This is technology experience inside a regulated industry — not actuarial or underwriting expertise.

Exposure across

Client dataPolicy dataClaims workflowsComplianceFinanceRegional operationsEnterprise applicationsData governanceIntegration requirements

Technology

The stack I build with

Tools, not trophies — no ratings, no percentages.

Languages

Python
C#
Java
SQL

Data

MSSQL
PostgreSQL
MongoDB
Snowflake
MySQL

Cloud

Azure
AWS

DevOps

Docker
Terraform
Azure DevOps
CI/CD
Git

Automation

UiPath
Automation Anywhere

Analytics

Power BI
Tableau

Delivery

Jira
Confluence
Productboard
Miro

Method

My approach

A pipeline, not a checklist. Each step feeds the next.

Understand

Understand the business problem.

Model

Understand data, workflows and dependencies.

Architect

Design the right technical architecture.

Build

Develop integrations, pipelines, automation and systems.

Validate

Test data quality, reliability, security and performance.

Improve

Measure outcomes and continuously optimize.

Education

Foundations

BSc Business Information Systems

University of Wolverhampton

Academic research: AI-Powered Warehouse Optimization System — Enhancing Efficiency and Reducing Operational Costs

Higher Diploma in Computing & Software Engineering

ICBT Campus / Cardiff Metropolitan University

Diploma in Information Technology

Esoft Metro Campus

Contact

Have a difficult technology problem?

Let's turn it into something scalable.

Emailsadurshan.sps@gmail.com LinkedInlinkedin.com/in/sadurshansp

Based inDubai, UAE

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