HCLTech/ANZx — Developer Platform / Cloud Networking · In-house developer platform for ANZ Bank's digital banking unit on GCP.
▸Own the Networking Controller on GCP — provisioning cloud network policy and enforcing security compliance for 50+ engineering teams.
▸Run controlled disaster-simulation exercises that verify our services correctly exercise GCP's multi-region HA — catching integration gaps so the platform's 99.999% SLA translates into real availability for us, not just on paper.
▸Designed and rolled out the CloudRun Git-volume-mount pattern — migrating ~80 services onto a simpler, image-build-free deployment workflow.
GCPKubernetesCloudRunKubeBuilderGo
Software Engineer
Oct 2024 – Apr 2025
Endash/Cigro — Data Platform · SaaS analytics product — dashboards and monitoring for online sellers.
▸Shipped monitoring as a first-class product feature — subscriptions, alerting, task orchestration — answering the top user request and shifting customers from passively viewing dashboards to actively engaging with their data.
▸Refactored internal hotspots and tightened the development workflow — cut user-reported bugs ~80%.
▸Executed a cross-vendor platform migration — cut infrastructure cost ~14% with improved uptime.
PythonFastAPIPostgreSQLPrefectBigQueryKafka
Technical Leader / Data Platform Engineer
Sep 2021 – Aug 2024
PrimeData — Customer Data Platform · Customer Data Platform startup serving enterprise clients.
Building the platform
▸Architected the Data Integration Platform behind client onboarding at scale — a 4-engineer team onboarded customers each with hundreds of pipelines, millions of events/day, built on a ~300-connector catalogue (~20 actively used, mostly databases and vendor APIs).
▸Designed and shipped a custom query engine (Query Builder + storage models) delivering sub-second P90 responses against hundreds-of-millions to billions of records — the backend core of the platform's analytics.
▸Extended the platform with Kubernetes-based Transformation Plugins and security hardening — enabling white-label deployments and customer-configured integrations without ops in the critical path.
Hardening
▸Designed and shipped an event-driven data-correction system — cut customer data error rates from 30% to 4%.
▸Introduced schema testing in GitHub Actions — raised test coverage from ~30% to ~75%.
Leading delivery
▸Led the engineering delivery (peak team of 5) through heavy coordination load — sustaining in-day support and 1–2 month client onboarding SLAs as the customer base grew.