Available for consulting
Vaishnov Srinath

VaishnovSrinath

Enterprise Data Consultant

Architecting enterprise-scale data platforms, automating masking workflows, and building the infrastructure layer that powers AI-ready test environments across banking and fintech. Currently driving technical solutions delivery at BTP Icon.

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About

Who I Am

Enterprise data infrastructure meets modern automation engineering — from legacy systems to AI-ready pipelines across banking, healthcare, and fintech.

8+
Years in Enterprise Tech
Banking
Financial Services Scale
50+
Applications Integrated
SG
Based in Singapore

I work at the intersection of enterprise data systems and modern automation. Over the past eight years, I have moved from production support and ETL operations into designing and delivering enterprise-scale Test Data Management platforms for some of the largest banking workloads in Southeast Asia.

Currently at BTP Icon, I drive end-to-end technical solutions delivery — helping enterprise customers onboard, configure, and operationalize complex data infrastructure across Test Data Management, Database CI/CD, DevSecOps automation, cloud analytics, and GenAI platforms.

My focus is on bridging the gap between product engineering, customer requirements, and real-world operational constraints — translating platform capabilities into measurable business outcomes at enterprise scale.

Enterprise Architecture

Bank-wide test data platforms across hundreds of applications — digital banking, cards, customer master, and mainframe systems.

Automation Engineering

API-driven pipelines, CI/CD integrations, and workflow automation replacing manual processes across enterprise environments.

AI-Era Infrastructure

Schema drift management, database-as-code, and orchestration for AI-ready environments across banking and healthcare.

At BTP Icon

BTP Icon is a Singapore-based technology consultancy specializing in enterprise data operations — Data Integration, Test Data Management, DevSecOps Automation, Cloud Analytics, GenAI, and Integrated Business Planning. We partner with organizations across APAC to modernize their data infrastructure, ensure compliance, and accelerate AI readiness at scale. Learn more →

Beyond the Terminal

Outside work, I chase light. Trekking through mountains, shooting astrophotography in the dead of night, and capturing drone aerials across Southeast Asia with my Canon R8. The patience required for a 30-second star exposure translates directly into how I approach complex system problems.

What We Deliver

AI-Ready Data Infrastructure

The foundational data layer that determines whether AI initiatives scale to production — schema governance, compliant test data, and enterprise orchestration.

The success of enterprise AI initiatives is determined not by the models themselves, but by the integrity of the data infrastructure beneath them — clean, compliant, version-controlled, and operationally governed.

At BTP Icon, we deliver the foundational data layer that transforms AI from proof of concept to production-grade infrastructure. Schema drift detection, database-as-code pipelines, AI-ready test data generation, and enterprise orchestration — the critical infrastructure that underpins every successful AI deployment at scale.

Schema Drift Detection

Governing schema evolution across enterprise environments

Schema drift introduces silent failures across AI and testing pipelines. Untracked column changes, deprecated tables, and data type modifications compromise model accuracy and release stability. Our approach detects and governs schema changes proactively — before they cascade into production failures.

Database as CodeLiquibaseChange DetectionCI/CD

AI-Ready Test Data

Compliant, realistic data that preserves analytical value

Financial institutions require test data that satisfies regulatory compliance without sacrificing statistical fidelity. Healthcare demands synthetic patient records preserving distributional patterns while ensuring zero re-identification risk. We deliver privacy-safe data pipelines purpose-built for AI training and validation.

Synthetic DataData MaskingPrivacy-Safe MLGDPR

Data Orchestration for LLMs

Enterprise-grade foundations for retrieval-augmented generation

Large language model deployments depend on the quality and governance of the underlying data layer. From embedding pipelines and vector store optimization to source data validation and retrieval accuracy — we architect the orchestration infrastructure that determines whether LLM initiatives reach production scale.

RAG PipelinesVector StoresData QualityLLM Infra

Environment Provisioning at Scale

On-demand data delivery across hundreds of applications

Enterprise environments require masked, compliant data provisioned in minutes — not weeks. Across development, QA, and AI workloads, every team needs access to representative production subsets without operational friction. We have delivered this at scale for some of the largest banking institutions in APAC.

Self-ServiceData VirtualizationProvisioningDevOps

Experience

Professional Journey

From production support to enterprise TDM architecture — a decade of building, automating, and scaling data systems across global financial institutions.

2025 — Present
Current

Technical Solutions Specialist

BTP Icon · Singapore

  • Own end-to-end technical delivery and post-implementation success for enterprise customers.
  • Act as the primary technical point of contact, bridging customers, product, and engineering teams.
  • Lead solution onboarding, configuration, and production rollouts across client environments.
  • Drive customer success through system health monitoring, performance optimization, and issue resolution.
  • Deliver technical enablement sessions, demos, and knowledge transfers to accelerate adoption.
  • Provide Tier-2 / Tier-3 support, troubleshooting complex issues and driving root-cause analysis.
2022 — 2025

Test Data Management Specialist

DBS Bank · Singapore

  • Designed and operated enterprise-scale Test Data Management platforms for banking workloads.
  • Implemented data masking and provisioning aligned with GDPR and internal data governance standards.
  • Integrated critical systems including digibank, cards, and customer master data into TDM platforms.
  • Built Python and CI/CD automations around Delphix APIs to standardize and accelerate masking workflows.
  • Automated parquet file masking for Hadoop-based applications without additional connectors.
  • Enabled self-service TDM for application teams, significantly reducing test data turnaround time.
2021 — 2022

Senior Software Engineer

Accenture · Chennai, India

  • Served as SME for IBM Infosphere Optim (TDM, TDO, TDF) across enterprise projects.
  • Designed and executed data masking and test data fabrication strategies for non-production systems.
  • Worked closely with business users to capture test data requirements and translate them into solutions.
  • Built internal automation tools using Python, Flask, HTML, and CSS.
  • Mentored junior engineers and reviewed solution designs to improve delivery quality.
2018 — 2021

Software Engineer

Accenture · Chennai, India

  • Provided Tier-2 and Tier-3 production support for large-scale enterprise applications.
  • Automated operational workflows using Unix shell scripting and Informatica ETL.
  • Monitored and supported batch jobs across JCL, Unix, and Informatica environments.
  • Collaborated with business teams to analyze data issues and resolve production incidents.
  • Built operational reports and dashboards to improve incident visibility and response time.
2014 — 2018

Bachelor of Engineering – Printing Technology

College of Engineering Guindy (Anna University) · Chennai, India

  • Built strong foundations in engineering principles, systems thinking, and process optimization.
  • Developed analytical and problem-solving skills applied later in enterprise technology delivery.

Portfolio

Technical Portfolio

Architecture, automation, and delivery across banking, fintech, and enterprise data platforms.

Featured Project

Enterprise TDM Platform Architecture

Bank-wide test data delivery for hundreds of applications

Data MaskingData ProvisioningCI/CDBankingOps
  • End-to-end operating model: onboarding, dependency mapping, masking standards, runbook-driven delivery.
  • Integrated critical banking domains — digital banking, cards, customer master — into consistent provisioning.
  • Self-service adoption patterns that reduced test data turnaround time across application teams.
100+ applications onboarded
Discuss a use-case

Masking Automation & CI/CD

Automation

API-driven execution for repeatable, governed masking

PythonREST APIsPipeline Orchestration
  • Pipeline automations triggering masking jobs via APIs across environments.
  • Queue and guardrail patterns reducing collision and manual intervention.
80% reduction in manual steps

Big Data File Masking

Data Engineering

End-to-end file masking for analytics pipelines

PythonCloud StorageParquetBig Data
  • Automated file-level masking for big data testing across analytics pipelines.
  • Workflow patterns integrating into existing delivery with full repeatability.
Zero-connector solution

Mainframe Data Masking

Mainframe

Legacy dataset masking with enterprise governance

Legacy SystemsVSAMEnterprise Governance
  • Masking for mainframe datasets aligned to legacy constraints and compliance requirements.
  • Vendor partnership for POCs, defect triage, and performance optimization.

Technical Presales & Customer Adoption

Enablement

Translating platform value into enterprise-wide adoption

Technical DemosStakeholder ManagementEnablement
  • Technical demonstrations and onboarding sessions driving self-service TDM adoption.
  • Cross-functional alignment reducing onboarding friction across enterprise teams.

Production Support & ETL Operations

Operations

Monitoring, incident analysis, and operational automation

Shell ScriptingETLBatch Processing
  • Batch monitoring, incident triage, and RCA-driven fixes across production environments.
  • Automated operational tasks with scripting and monitoring dashboards.

Insights

Thought Leadership

Writing about TDM, data privacy, enterprise automation, and the operational realities behind the buzzwords.

Latest Post9 Jun 2026

Your AI Agent Has More Access Than the Person Who Built It

The new identity blindspot — why agent permissions are quietly out-scaling human ones, and what governance gets wrong

AI AgentsIdentity & AccessSecurityGovernance

AI agents are walking into production with broader permissions than the engineers who built them. The identity governance frameworks we built for humans have no answer for it.

Read Article

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For consulting engagements, enterprise partnerships, or to explore how BTP Icon can accelerate your data infrastructure initiatives.