Venkatesh Periyathambi

Principal Data & AI Architect | Enterprise Technology Leader

15+ years architecting mission-critical distributed systems across AWS, public sector, and entrepreneurship. Expert in GenAI/Agentic AI, Data Modernization, and Enterprise Transformation. Delivered 45% TCO reduction, 3x-100x performance improvements for Fortune 100 firms.

Venkatesh Periyathambi - Professional Portrait

Professional Summary

Principal Data & AI Architect with 15+ years of experience at AWS, in the public sector, and as an entrepreneur. Bridge technical execution and executive strategy to drive enterprise scale Generative AI (GenAI) adoption. Specialize in transforming fragmented data fragmented data estates into governed, AI-ready platforms. Lead cloud modernization, database transformation, and GenAI architecture programs while building and scaling high-performing EMEA teams that deliver measurable outcomes in cost optimization, performance, resilience, and regulatory compliance.

Professional Experience

Principal Data and AI Solutions Architect / EMEA Lead

Amazon Web Services (AWS) • Dublin, Ireland

Oct 2023 – Present

Strategic Impact

  • Engineered resilient, multi-region data platforms utilizing FinOps and Well-Architected frameworks, delivering up to 45% TCO reduction, 3x-100x performance improvements, and 99.99% availability for mission-critical enterprise workloads
  • Directed large-scale modernization programs for 40+ global accounts, orchestrating transitions from legacy commercial databases (Oracle/SQL Server) to cloud-native Aurora and NoSQL architectures
  • Architected production-grade Generative AI, RAG, and Agentic AI solutions, institutionalizing implementation patterns into reusable "gold standard" frameworks adopted by global field teams
  • Shifted customer architectures from centralized "Data Lakes" to decentralized Data Mesh models, enabling data sovereignty and "Data-as-a-Product" delivery

Leadership & Influence

  • Serves as Trusted Advisor to C-suite stakeholders at Fortune 100 firms (Barclays, AIG, Bayer AG) and GSIs, aligning GenAI and data modernization initiatives with regulatory and business objectives
  • Orchestrated EMEA Data & AI Strategy, securing regional resource allocation and defining tactical roadmap for 14 specialized architects
  • Partnered with Product Engineering to translate field signals into development strategies for Aurora DSQL, Bedrock, and AgentCore; spearheaded a global technical summit for 3,000+ professionals
  • Steers cross-functional programs leveraging multi-million dollar funding mechanisms to de-risk cloud adoption for strategic accounts

Key Projects

  • Enterprise GenAI Data Readiness: Developed foundational strategy integrating Vector Search (OpenSearch/pgvector) for high-fidelity RAG
  • Data Mesh Patterns: Architected domain boundary analysis and sovereignty frameworks for decentralized data delivery
  • Aurora Acceleration: Orchestrated multi-million dollar migrations achieving 5x throughput with 40% overhead reduction
GenAI RAG Vector DBs Aurora DSQL Data Mesh Agentic AI FinOps C-Level Advisory

Senior Data Solutions Architect / Team Lead

Amazon Web Services (AWS) • Dublin, Ireland

Dec 2020 – Sep 2023

Program Leadership

  • Directed "DB Freedom" programs for 40+ accounts, orchestrating multi-million dollar migrations to cloud-native Aurora and NoSQL platforms
  • Created "SaaS Acceleration" framework adopted by 250+ consultants, standardizing design patterns across EMEA
  • Built EMEA Partner Specialist Data Architecture team from zero, implementing structured training programs; region exceeded quotas for two consecutive years
  • Managed distributed team of 10, designing organizational structure and mentoring architects; Twice recognized as "Solution Architect of the Year"

Architecture & Technical Programs

  • Designed complex Data Mesh and Lakehouse architectures for global enterprises, shifting to decentralized "Data-as-a-Product" models
  • Led monolithic-to-microservices transition using Strangler Fig pattern, migrating to Aurora Serverless v2 and DynamoDB (40% overhead reduction)
  • Architected "Zero-ETL" and streaming analytics pipelines using Redshift and Kinesis for real-time decision-making
  • Standardized multi-tenant SaaS database patterns for high-growth fintechs

Key Projects

  • SaaS Acceleration Framework: Designed patterns reducing time-to-market for 250+ consultants
  • Data Mesh Transformation: Architected domain boundaries for 15+ Fortune 500 enterprises
  • Zero-ETL Analytics: Engineered streaming pipelines for high-velocity trading platforms
Data Mesh Lakehouse SaaS Multi-Tenancy Kinesis Redshift Microservices Aurora Serverless Team Leadership

Senior Cloud DBA & Operations Engineer

Amazon Web Services (AWS) • Dublin, Ireland

Aug 2019 – Dec 2021

Operational Excellence

  • Served as Senior Technical Escalation Authority, managing high-stakes production incidents across Aurora, DynamoDB, MongoDB ensuring 99.99% availability
  • Institutionalized global knowledge management, reducing MTTR by 30% and increasing SME capacity by 23%
  • Partnered with product engineering to refine incident management, transforming reactive support into proactive "Customer Success" strategy
  • Led advanced performance diagnostics and cost-engineering for latency-sensitive workloads

Key Projects

  • Production Incident Command: Established systematic "War Room" protocols for national-scale outages
  • Global Knowledge Repository: Transformed tribal knowledge into automated diagnostic tools
  • Capacity Forecasting: Developed predictive frameworks for extreme traffic peaks
Aurora DynamoDB MongoDB Performance Tuning Incident Management RCA Capacity Planning

Senior Cloud Engineer

Amazon Web Services (AWS) • Dublin, Ireland

Aug 2015 – Dec 2019

Hands-On Architecture

  • Orchestrated cross-functional "War Room" environments during high-stakes production outages for national-scale infrastructure
  • Conducted deep-dive Root Cause Analyses (RCA) for complex distributed system failures
  • Analyzed high-velocity transactional patterns for Fortune 500 customers, providing surgical performance tuning
  • Transformed "tribal knowledge" into global repository and automated diagnostic tools, lowering MTTD/MTTR

Key Projects

  • RCA Framework: Systematized methodology adopted across EMEA
  • Schema Optimization: Engineered surgical redesigns of legacy monolithic schemas
  • Predictive Capacity Models: Developed forecasting for proactive traffic peak management
RDS Aurora DynamoDB Schema Design RCA Performance Tuning Mentorship

Founder & Managing Director

Pitchpine Technologies • United Kingdom

Jan 2014 – Jul 2015

Leadership Overview

  • Founded and managed all aspects of an IT consultancy, from business development and requirements engineering to project delivery for UK public sector and healthcare organizations
  • Operated as a "Single Threaded Owner" (STO) for high-stakes digital initiatives, aligning technical roadmaps with local government and NHS operational mandates

Key Project: Rushmoor Borough Council (Applications Consultant)

Focus: Business Process Re-engineering, Help-Desk Implementation & Data Intelligence

  • Designed and implemented an enterprise-wide ITIL-based service management system (Hornbill), automating support workflows for the council's contact center and IT departments
  • Led a cross-functional team of 6 stakeholders to map legacy business processes, translating complex departmental requirements into a streamlined, digital-first service architecture
  • Engineered data intelligence dashboards and reporting suites to provide real-time visibility into operational performance, enabling data-driven decision-making for council leadership
  • Exercised direct people leadership, managing 4 support engineers to ensure seamless system adoption and technical knowledge transfer

Key Project: Oxford NHS Trust (Infrastructure Analyst)

Focus: Enterprise Modernization & High-Availability Systems

  • Directed infrastructure operations for a mission-critical healthcare environment, ensuring 24/7 system reliability and escalation support for a user base of 10,000+ medical and administrative staff
  • Led a large-scale virtualization initiative, migrating legacy physical server estates to VMware and Hyper-V environments to improve hardware utilization and disaster recovery posture
  • Managed the deployment and performance monitoring of enterprise Windows Server environments, utilizing Quest tools to maintain high availability across the Trust's clinical application portfolio
  • Executed complex server migrations and modernization projects, bridging the gap between legacy hardware and modern software-defined data centers
ITIL Implementation Contact centre Legacy Migration Business Process Re-engineering BI Dashboards VMware Hyper-V Enterprise Infrastructure Healthcare IT 24/7 Operations STO Leadership Team Management

Core Competencies

AI/ML & GenAI

  • Generative AI
  • RAG (Retrieval-Augmented Generation)
  • Agentic AI Workflows
  • LLM Integration
  • Vector Databases (Pinecone, OpenSearch, S3)
  • Multi-Modal RAG

Data Engineering & Architecture

  • Data Mesh & Lakehouse
  • Large-scale Migrations
  • Distributed SQL (PostgreSQL, Aurora DSQL)
  • NoSQL (DynamoDB, MongoDB)
  • Real-time Streaming (Kinesis)
  • Data Warehousing (Databricks)

Cloud & Infrastructure

  • AWS Services (Aurora, DynamoDB, Redshift, Bedrock)
  • Multi-Region HA/DR
  • Cloud-Native Design
  • Microservices & Serverless
  • Infrastructure-as-Code
  • FinOps

Leadership & Governance

  • C-Level Advisory
  • Team Building & Mentorship
  • Strategic Architecture Planning
  • GDPR/SOC2/HIPAA Compliance
  • Cost Optimization
  • Organizational Design

Education & Certifications

Perplexity AI Business Fellow

2025

Inaugural cohort focused on Agentic search, AI fluency for executives, and strategic AI integration

M.Sc. Security Technologies & Applications

University of Surrey, UK

B.E. Computer Science

Anna University, India

AWS Certifications

GenAI Practitioner, Database Specialty

Additional Certifications

RHCE, CEH, MongoDB Data Modeling, Databricks Foundation

Get in Touch

I'm always interested in discussing architecture challenges, GenAI opportunities, and innovative data solutions. Feel free to reach out!