VINOD PILLAI
DATA · CLOUD · INTELLIGENCE

SOLUTIONS ARCHITECT · DATA & CLOUD

Architecting cloud
data platforms.

Connecting analytics and AI.

Over a decade across data engineering, cloud architecture and analytics. Now extending that experience into machine learning and AI.

Years of experience
10+
Across the data lifecycle
Cloud & infrastructure
Hybrid
AWS · Azure · GCP · On-premises
Computer Science
MSc
Kerala University · First Class

01 / SELECTED ARCHITECTURE

Ideas, connected to outcomes.

3 illustrative concepts

Three illustrative designs for shared data, trusted analytics and knowledge discovery.

01 / CLOUD DATA PLATFORM
Illustrative platform: batch and event sources converge into a shared data foundation and curated data products. Batch dataEvents Shared data foundation Curated data products ILLUSTRATIVE CONCEPT

Cloud · Data engineering

A unified cloud data platform

Connect fragmented sources through a shared data foundation.

Designed forReusable data across teams.

View concept Close concept

The challenge

Disconnected sources make data difficult to discover and reuse.

Proposed approach

A layered ingestion and storage architecture brings structured and semi-structured data into a shared foundation.

  • Batch and event-driven ingestion
  • Catalogued datasets and access controls
  • Curated data products for downstream teams

Key design decision

Separate ingestion from consumption so source changes do not force every downstream team to rebuild. Define ownership and access before expanding the platform.

Illustrative technology choices

  • Amazon S3
  • AWS Glue
  • Amazon Athena

Intended outcome

Reusable, discoverable datasets with a consistent path from source to insight.

Illustrative concept, not a delivered client project or measured result.

02 / GOVERNED ANALYTICS
Illustrative analytics: source data passes through shared definitions and quality checks to consistent reporting. Source data Shared definitions · Quality TeamsReports ILLUSTRATIVE CONCEPT

Analytics · Governance

Trusted data, clearer decisions

Connect common definitions to consistent, governed reporting.

Designed forConsistent business measures.

View concept Close concept

The challenge

Teams use conflicting definitions and spend time reconciling reports.

Proposed approach

A governed semantic layer connects curated data to reusable business definitions and role-based reporting.

  • Shared business definitions and data models
  • Quality checks and lineage
  • Controlled access to reporting datasets

Key design decision

Centralize shared business definitions while letting teams build their own reports. Consistency depends on agreed ownership and visible data-quality checks.

Illustrative technology choices

  • Data modeling
  • Data quality
  • Semantic layer

Intended outcome

Consistent measures and a clearer route to trusted self-service analytics.

Illustrative concept, not a delivered client project or measured result.

03 / APPLIED AI
Illustrative knowledge assistant: approved documents feed retrieval and an answer with source citations. 12 DocumentsRetrieveCited answers ILLUSTRATIVE CONCEPT

AI · Knowledge discovery

AI grounded in your knowledge

Connect approved documents to answers with source citations.

Designed forTraceable knowledge discovery.

View concept Close concept

The challenge

Useful information is spread across documents and difficult to retrieve.

Proposed approach

A retrieval-augmented assistant grounds answers in approved documents and links responses back to source material.

  • Document ingestion and retrieval
  • Source citations and permissions
  • Evaluation of answer quality and relevance

Key design decision

Retrieve only authorized source material and include citations with each answer. Evaluate retrieval relevance alongside answer quality before wider adoption.

Illustrative technology choices

  • Amazon Bedrock
  • Vector retrieval
  • Python

Intended outcome

Faster knowledge discovery with traceable answers and controlled access.

Illustrative concept, not a delivered client project or measured result.

02 / EXPERTISE

From foundations to intelligence.

Data, cloud and AI, supported by analytics, governance and technical leadership.

Data engineering

Integrating, loading and modeling data with Python, SQL and strong software foundations.

  • Data integration
  • Data modeling
  • Python
  • SQL

Cloud architecture

Solution architecture spanning public cloud and on-premises environments.

  • AWS
  • Microsoft Azure
  • GCP
  • On-premises

AI & machine learning

An expanding focus on data science, machine learning and generative AI.

  • Machine learning
  • Amazon Bedrock
  • Generative AI

Big data analytics

Experience across big data engineering, analytics and research.

  • Hadoop
  • NoSQL

Visualization & governance

Connecting data visualization, governance and business data management.

  • Data visualization
  • Data governance

Technical leadership

A career spanning solution architecture, technology leadership and consulting.

  • Team management
  • IT consulting

03 / EXPERIENCE

An evolving career in data.

2013 — Present

From hands-on engineering to solution architecture.

MBC GROUP

2022 — Present

Full-time · On-site

Joined as Senior Data Engineer in 2022; moved into solution architecture in 2025.

Solutions Architect - Big Data Analytics, Research

Oct 2025 — Present

Riyadh, Saudi Arabia

  • Data Architects
  • Data Loading

Solutions Architect - Big Data Analytics, Research

Apr 2025 — Sep 2025

Dubai, United Arab Emirates

  • Team Management
  • IT Consulting

Senior Data Engineer

Feb 2022 — Mar 2025

Dubai, United Arab Emirates

  • Business Data Management
  • Data Architects

Dubai Electricity & Water Authority - DEWA

Contract

Senior Technical Consultant - Big Data Analytics, Artificial Intelligence

Oct 2020 — Feb 2022

Dubai, United Arab Emirates

  • Team Management
  • IT Consulting

Infosys

Full-time

Technology Lead - Big Data Analytics, Machine Learning

Jul 2020 — Sep 2020

India

  • Team Management
  • IT Consulting

Omnicom Media Group

Full-time

Data Engineer - Big Data Analytics, Cloud Engineer

Apr 2016 — Dec 2019

United Arab Emirates

  • IT Consulting
  • Data Integration

Infosys Limited

Full-time

Data Analyst - Operations Executive

Apr 2013 — Apr 2015

Pune Area, India

  • Troubleshooting
  • Programming

04 / ABOUT & EDUCATION

A broad perspective. A connected approach.

My work connects data engineering, cloud architecture and analytics.

I bring over a decade of experience across data integration, visualization, governance and big data analytics. A foundation in computer science and certifications from AWS and Microsoft Azure support that work.

My focus now extends into data science, machine learning and generative AI, combining ongoing learning with practical experience.

ACADEMIC FOUNDATION

  1. 2014 — 2016 First Class

    Master of Science (MSc), Computer Science

    Kerala University, Thiruvananthapuram

  2. 2009 — 2012 First Class

    Bachelor of Science (BSc), Computer Science

    Kerala University, Thiruvananthapuram

05 / CERTIFICATIONS

Qualifications that support the work.

Cloud qualifications and continued learning across data, analytics and AI.

Amazon Web Services (AWS)

AWS Certified Solutions Architect - Associate

Issued Jul 2023

  • Cloud Computing
  • Amazon Web Services (AWS)
Amazon Web Services (AWS)

AWS Certified Machine Learning - Specialty

Issued Nov 2024

Expires Nov 2027
  • Machine Learning
Microsoft

Azure Data Engineer Associate

Issued Oct 2023

  • Microsoft Azure
  • Data Engineering
Amazon Web Services (AWS)

AWS Certified Machine Learning Engineer - Associate

Issued Oct 2024

Expires Oct 2027
  • Machine Learning
  • Data Science
Amazon Web Services (AWS)

AWS Certified AI Practitioner

Issued Oct 2024

Expires Oct 2027
  • Amazon Bedrock
  • Generative AI
Amazon Web Services (AWS)

AWS Certified Data Analytics - Specialty

Issued Jul 2023

  • Cloud Computing
  • Amazon Web Services (AWS)
Amazon Web Services (AWS)

AWS Certified Cloud Practitioner

Issued Jul 2023

  • Cloud Computing
  • Amazon Web Services (AWS)
Microsoft

Azure Data Fundamentals

Issued Oct 2022

  • Cloud Computing
  • Solution Architecture
Microsoft

Azure AI Fundamentals

Issued Jan 2022

  • Cloud Computing
  • Solution Architecture
Microsoft

Azure Fundamentals

Issued Oct 2021

  • Cloud Computing
  • Solution Architecture
Cognitive Class

Deep Learning with TensorFlow

Issued Jun 2021

  • Data Science
Cognitive Class

Accelerating Deep Learning with GPUs

Issued Jun 2021

  • Data Science
Cognitive Class

Deep Learning Fundamentals

Issued Jun 2021

  • Data Science
Cognitive Class

NoSQL and DBaaS 101

Issued Nov 2018

  • Data Modeling
  • Big Data Analytics
Cognitive Class

Hadoop 101

Issued Dec 2018

  • Big Data Analytics
  • Data Engineering
Cognitive Class

Blockchain Essentials

Issued Jun 2018

Cognitive Class

Python 101 for Data Science

Issued Jul 2018

  • Data Science
Cognitive Class

Python 101

Issued Jun 2018

  • Big Data Analytics
  • Data Engineering
Cognitive Class

Data Science Hands-On with Open Source Tools

Issued Nov 2016

Expired Nov 2018
  • Data Science
Cognitive Class

Data Science Methodology

Issued Nov 2016

Expired Nov 2018
  • Data Science
Cognitive Class

Introduction to Data Science

Issued Nov 2016

Expired Nov 2018
  • Data Science
Cognitive Class

Big Data 101

Issued Nov 2016

Expired Nov 2018
  • Data Modeling
  • Big Data Analytics
Sololearn

CSS Fundamentals

Issued Jul 2018

Sololearn

PHP

Issued Jul 2018

Sololearn

SQL Fundamentals

Issued Jul 2018

  • Data Modeling
Sololearn

JavaScript

Issued Jul 2018

Sololearn

Python 3

Issued Jul 2018

  • Data Engineering
Sololearn

Java Core

Issued Jul 2018

View LinkedIn profile ↗ (opens in a new tab)

LET'S CONNECT

Let’s connect the dots.

For conversations about data platforms, cloud architecture, and AI.
connect@vinodpillai.in

Let’s talk by email