Vignesh Athiappan
Work

Business problems, solved with systems.

The landing page is the summary — this is the record. Tap any row.

Business problems, delivered
Performance management platform — live in 60 days, org-wide

RoleIndependently designed the complete schema and a configurable workflow engine; led the full lifecycle to production. Adopted organization-wide across all geographies.

Skills intelligence platform — end to end in 45 days

RoleSolo architect — schema, workflow, competency framework, reporting. Enterprise-wide skill visibility.

Resource allocation & compliance — an EU rollout, led on the ground

RoleDefined the functional flows and designed allocation workflows with dozens of test scenarios and compliance checks. Led the rollout in Serbia — thousands of employees onto one operating framework in two months.

Centralized approvals + reporting migration for cloud readiness

The approachApprovals were scattered across systems and inboxes; consolidated into one auditable platform. Replaced roughly ninety on-prem SSRS reports with in-app Excel builders — removing the last blocker for the cloud migration.

Revenue intelligence — shipped in three weeks

RoleTwo-tier parallel architecture ingesting Teams, Email and CRM into the lakehouse for AI-assisted insight. Used by the COO for key-account tracking.

The report studio — one governed reporting hub

The approachInstead of one-off reports, a central studio on Fabric Gold: catalog, dynamic filters, favorites, multi-format export. FP&A, HR, Operations, Sales and leadership consume from one place.

Platform & integration
Cloud modernization — a decade of layers, moved entirely

ScopeMigrated a ten-year-old layered architecture to Azure in full. Purged and tuned legacy SQL down to a fraction of its size. The applications that followed were born cloud-native, and a microservices application framework now carries new builds end to end.

Integration backbone — the estate, connected in real time

RoleSole architect. REST APIs enabled across the application estate; Service Bus for resilience; API Management as the secure gateway; Logic Apps and Functions stitching internal and SaaS systems into one backbone. The hard 20% — OAuth race conditions, WAF false positives, schema overflows — fought and won.

Deployment automation — release day made boring

WhatManual IIS deployments collapsed into parameterised YAML templates; one pipeline deploying SQL across many databases; the whole workflow estate auto-backed-up into Azure DevOps.

Performance engineering — measured before argued

WhatLoad testing across core screens and integration paths, read/write contention analysis, and the capacity plan — tiering, load balancing, autoscaling — with cost forecasting to leadership.

Security & observability
Security architecture — designed, and measured quarterly

DesignFront Door and WAF at the edge, private VNets within, least-privilege integration identities, secrets centralized under managed identity, API Management as the only public door.

MeasurementBlack-, grey- and white-box angles per application, scored against a recurring assessment framework — security as a quarterly habit, not a launch checklist.

Observability by design — one trace, end to end

DesignApplication Insights and Log Analytics across every layer, with correlated operations so one query follows a request from the user through every system it touched. Alerts tuned so a page actually means something.

Engineering practice
Automation testing practice — a capability built from zero

WhatStood up automation testing as a new organizational capability — engineers trained, frameworks chosen, regression coverage now driving releases instead of manual passes.

Functional flows & UAT discipline — flows before code

HowEvery system starts as a written functional flow — triggers, states, failure paths, compliance checks — and ships through UAT programs run like launches, with named testers and staged go-lives.

Growing engineers — fresher batches to production-ready

HowTrained successive fresher batches into production engineers, and embedded AI-first practices — prompt engineering as a daily force multiplier for architecture, code, debugging and documentation.

Hiring for this?

A short call is the fastest way to know if we fit.