✦ Senior AI Data Engineer    ✦ EY · Chennai    ✦ Agentic AI + Knowledge Graphs    ✦ Data Engineering · DataOps · AI/MLOps    ✦ Cybersecurity Domain    ✦ Multi-Cloud · Multi-Agent    ✦ Senior AI Data Engineer    ✦ EY · Chennai    ✦ Agentic AI + Knowledge Graphs    ✦ Data Engineering · DataOps · AI/MLOps    ✦ Cybersecurity Domain    ✦ Multi-Cloud · Multi-Agent   
Exploring opportunities in Data & AI Platform Engineering

Mohamed Aarif
AI-Data
Strategist.

Certified Senior AI Data Engineer with 7+ years shipping production platforms across Data Engineering, Agentic AI, DataOps & AIOps, and Cybersecurity. Currently at EY, architecting systems that turn raw threat intelligence into autonomous cyber defense.

Currently at
EY · Senior AI Data Engineer
Experience
7+
Years in Production
Domains Conquered
Banking · Airlines · Energy · Public Healthcare · Enterprise Cybersecurity
Brands I Spent Time With
KrogerKroger
PrimarkPrimark
NHS ScotlandNHS Scotland
KeppelKeppel
Home DepotHome Depot
EYEY
DeloitteDeloitte
WiproWipro
KrogerKroger
PrimarkPrimark
NHS ScotlandNHS Scotland
KeppelKeppel
Home DepotHome Depot
EYEY
DeloitteDeloitte
WiproWipro

"Critical thinking is your moat. In a world of AI answers, the real advantage is asking better questions."

Data Engineering · Agentic AI · Knowledge Graphs · Cybersecurity · MLOps

02 / KNOWN FOR

Data Architecture at Scale & Speed

Data Architecture at Scale
180M

Engineered cloud-agnostic lakehouse architectures and Neo4j knowledge graphs that ingest 180M+ daily records from enterprise NDR and AppSec tools, scaling to billions of traversable threat intelligence paths.

SecOps MTTR Reduction
71%

Built an advanced attack path analysis solution leveraging Neo4j Graph Data Science and NetworkX to slash critical vulnerability remediation times from 7 days down to 2.

Engineering Velocity
35%

Optimized large-scale data transformation logic using advanced SQL/Spark processing for 35% faster execution. Built Python utility frameworks reducing dev effort by 30%.

Platform & AI Adoption
45%

Shaped the go-to-market strategy and advocated for a dual-implementation pattern for the CyberOps platform, accelerating enterprise onboarding and increasing client adoption by 45%.

Thought Leadership
400+

Championed an emerging tech culture by hosting 10+ virtual AI CoE roadshows across Europe and leading technical sessions for 400+ global stakeholders, driving AI literacy through whitepapers and live demos.

Distributed Data Eng.
PB+

Architected modern lakehouse solutions and distributed PySpark pipelines on Delta Lake, orchestrating the ingestion, transformation, and strict governance of petabyte-scale enterprise datasets.

03 / STRENGTHS

What I Bring to the Table

Enterprise Data Architecture
Designed multi-tenant, cloud-agnostic DataOps architectures integrating relational + graph models with strict governance, lifting client adoption by 45%.
Agentic AI Systems
Built Multi-Agent Extraction Swarms using AutoGen, exposed Knowledge Graphs as MCP servers, and deployed LangChain RAG pipelines for autonomous cyber defense.
Knowledge Graph Engineering
Architected enterprise-scale Neo4j graphs with billions of traversable paths, enabling CVE-to-Threat Actor attribution and complex multi-hop analytics.
Delta Lake + Lakehouse
Production Delta Lake pipelines with medallion architecture, DLT, Autoloader, and Structured Streaming, accelerating data processing by 40%.
Cybersecurity Domain Expert
Deep expertise in threat intelligence, vulnerability management, attack path analysis, and SOC automation, reducing critical MTTR from 7 days to 2.
DevSecOps + MLOps
End-to-end CI/CD with DABs, Azure DevOps, Terraform, GitHub Actions, container security scanning, and automated data quality gates.
0+
Years Shipping Production
0%
Client Adoption Lift
Faster Threat Remediation
Graph Paths Traversed
02 / EXPERIENCE

Where I've Shipped

Ernst & Young (EY)
May 2022 - Present
Senior AI Data Engineer
📍 Chennai, India
Knowledge AI Fabric for Cyber Analytics (KAFCAD) Current
  • Engineered Delta Lake ingestion pipelines on Azure Databricks using medallion architecture with incremental ingestion and automated data-quality validation
  • Modeled and deployed enterprise-scale Knowledge Graph in Neo4j, enabling multi-hop analytics with entity resolution and ontology normalization across millions of entities
  • Built CTI Knowledge Graph pipeline using LangChain, BAML, and Python with Elasticsearch vector store for hybrid semantic + keyword search
  • Designed Multi-Agent Extraction Swarm using AutoGen; exposed Knowledge Graph as MCP server via FastMCP with MSAL authentication
  • Architected AIOps observability layer using ELK Stack and Prometheus/Grafana with intelligent alerting and anomaly detection
  • Implemented Docker multi-stage containerization and Kubernetes deployments with Aqua Security scanning in CI/CD
Azure DatabricksDelta LakeNeo4jLangChainAutoGenMCPKubernetesELK StackPrometheus
CyberOps Data Platform
  • Led design of scalable, cloud-agnostic, multi-tenant DataOps architecture with 45% increase in client adoption
  • Managed and optimized 100s of Airflow DAGs across managed (Composer, MWAA) and self-hosted instances
  • Built attack path analysis using Neo4j Data Science + NetworkX, reducing critical MTTR from 7 to 2 days
  • Architected end-to-end MLOps pipelines on GCP Vertex AI for 8 cybersecurity ML models with batch predictions into BigQuery
  • Extended support to 7 active product teams with strict delivery timelines in agile model
PySparkAirflowNeo4jBigQueryVertex AITerraformGitHub Actions
Deloitte
Nov 2020 - Apr 2022
Azure Data Engineer
📍 Bangalore, India
K-Governance: Enterprise Data Management Platform
  • Designed Azure Data Lake with medallion architecture for optimized storage, retrieval, and governance
  • Developed metadata-driven ingestion framework with ADF, Databricks, and embedded data quality checks with lineage tracking
  • Revamped Informatica ETL workflows for seamless legacy data migration preserving lineage and governance metadata
  • Implemented CI/CD with Azure DevOps; built Power BI dashboards for governance SLA and FinOps optimization
Azure Data FactoryDatabricksAzure PurviewInformaticaPower BI
Wipro
Aug 2018 - Nov 2020
Azure Data Engineer
📍 Bangalore, India
AI-CoE: Public Sector AI Center of Excellence
  • Built batch and real-time ML inference pipelines using Azure Databricks, Azure ML Service, and AKS
  • Mentored UK public healthcare ML practitioners on MLOps and ML lifecycle management at scale
  • Collaborated with research scientists and healthcare practitioners across Europe for multiple ML use cases
  • Leveraged Azure DevOps for CI/CD of ML models with monitoring, log collection, and backup patterns
Azure DatabricksAzure MLAKSTableauDenodo
03 / SKILLS

Full-Stack Data + AI Arsenal

Data Engineering + Cloud
01Python · PySpark · Pandas
95%Expert
02Azure (ADF, Databricks, Synapse, Fabric)
93%Expert
03Delta Lake · DLT · Medallion Architecture
92%Expert
04Apache Airflow · Composer · MWAA
90%Expert
05SQL · T-SQL · BigQuery · Spark SQL
90%Expert
06GCP (BigQuery, Vertex AI, Dataproc, Pub/Sub)
87%Advanced
07dbt · Data Modelling · Data Governance
85%Advanced
08Power BI · Tableau · Data Visualization
82%Advanced
AI/MLOps · Security · DevOps
09Neo4j · Knowledge Graph Engineering
93%Expert
10LangChain · LangGraph · AutoGen · MCP
90%Expert
11RAG Pipelines · Vector Search · LLM Apps
88%Advanced
12MLOps · MLflow · KubeFlow · Vertex AI
85%Advanced
13Kubernetes · Docker · Helm · AKS/GKE
85%Advanced
14Terraform · CI/CD · Azure DevOps · GitHub Actions
85%Advanced
15CyberSec · Threat Intel · SAST/DAST · Wiz
82%Advanced
16ML (Classification, Clustering, NLP, Feature Eng)
80%Proficient
GenAI + Agentic AI Stack
Azure OpenAI LangChain LangGraph AutoGen MCP (Model Context Protocol) Semantic Kernel Databricks GenAI Pinecone Elasticsearch (Vector) RAG Pipelines MLflow KubeFlow
Data Engineering Stack
Databricks Apache Spark Delta Lake + DLT Apache Airflow dbt Microsoft Fabric Azure Data Factory BigQuery Kafka Redis Informatica Power BI
Cloud + DevSecOps
Microsoft Azure GCP AWS Kubernetes Docker Helm Terraform GitHub Actions Azure DevOps JFrog
Databases + Storage
Neo4j PostgreSQL Azure SQL Cosmos DB Elasticsearch Oracle SQL Cloud Spanner
Cybersecurity + Governance
OpenCTI ThreatQ Wiz MS Defender Qualys CheckMarx Invicti Mend SonarQube Azure Purview Unity Catalog Great Expectations
Architecture Patterns
Data Mesh Data Fabric Medallion ETL/ELT AI Fabric DataOps MLOps AIOps Lakehouse
04 / CERTIFICATIONS

Verified Credentials

Microsoft
Fabric Data Engineer Associate
Microsoft Inc
Verify on Credly →
Databricks
Certified Data Engineer Associate
Databricks Inc
Verify on Accredible →
Databricks
Certified GenAI Engineer Associate
Databricks Inc
Verify on Accredible →
Neo4j
Neo4j Certified Professional
Neo4j Inc
Verify on Credly →
Credly View Credly Portfolio ↗ 🎓 View Accredible Wallet ↗
05 / PROJECTS

Outcome-Driven Work

Agentic AIKnowledge GraphAIOps2024-Present

Engineering a Knowledge Graph with billions of traversable paths for autonomous cyber defense

A unified cyber defense platform ingesting hundreds of threat feeds into Neo4j, powered by a Multi-Agent AutoGen swarm and exposed as an MCP server for AI-driven threat intelligence.

Azure Databricks · Delta Lake · Neo4j · LangChain · AutoGen · MCP · Kubernetes · ELK

DataOpsMulti-CloudMLOps2022-Present

Designing a cloud-agnostic DataOps architecture that lifted client adoption by 45%

Multi-tenant cyber operations platform integrating relational + graph data models, containerized Airflow, attack path analysis, Vertex AI MLOps, and full DevSecOps CI/CD.

PySpark · Airflow · Neo4j · BigQuery · Vertex AI · Terraform · GitHub Actions

Data GovernanceLakehouseDataOps2020-2022

Architecting a metadata-driven governance lakehouse for trustworthy enterprise data

Azure Data Lake medallion architecture with ADF, Databricks, Informatica ETL migration, Power BI dashboards, and full CI/CD with governance embedded at every layer.

Azure Data Factory · Databricks · Azure Purview · Informatica · Power BI

AIOpsMLOpsHealthcare AI2018-2020

Establishing an AI CoE that accelerated real-time ML deployment for UK public healthcare

Batch and real-time ML inference pipelines on Azure Databricks + AKS, MLOps lifecycle mentorship for UK healthcare practitioners, and cross-European stakeholder delivery.

Azure Databricks · Azure ML · AKS · Azure DevOps · Tableau · Denodo

06 / ENDORSEMENTS

What Leaders & Colleagues Say

RM
Ranajit Mitra Lead Data Scientist, AI CoE

"His ability to bridge data engineering with intelligent, agent-based solutions makes him stand out. On top of that, he is proactive, collaborative, and always eager to learn and innovate."

FM
Fazal Mir Mohamed AI Project Manager

"One of the most talented and dedicated professionals I have encountered. His ability to design and implement robust data pipelines has significantly improved our data processing efficiency."

RV
Rajat Varshney Security Solutions Architect

"Built a sophisticated knowledge graph ingestion framework... processes approximately 180 million new records daily. His efforts in refining the data model were crucial for Attack Path Analysis."

AR
Anish Rajendran Lead Data & AI Architect

"Aarif is a very technical and dedicated team member to work with. He always comes back with excellent solutions. He takes the lead and does things proactively."

FV
Francisco Villalpando Data Engineer

"He showed great professionalism and a customer-centric mindset with the code and support he delivered, he was very responsive and always knew his way around the Cloud tooling."

DT
Digant Thakur Senior Machine Learning Engineer

"With his extensive knowledge on Azure, Azure Data Factory, and Databricks, Aarif was able to solve all the Data Engineering use cases effectively and rapidly."

SB
Shamit Bagchi AI Strategy, IIM Bangalore

"After the initial guidance provided you can blindly rely on Mohammed to deliver. This level of dedication means he will progress and reach great heights."

RM
Ranajit Mitra Lead Data Scientist, AI CoE

"His ability to bridge data engineering with intelligent, agent-based solutions makes him stand out. On top of that, he is proactive, collaborative, and always eager to learn and innovate."

FM
Fazal Mir Mohamed AI Project Manager

"One of the most talented and dedicated professionals I have encountered. His ability to design and implement robust data pipelines has significantly improved our data processing efficiency."

RV
Rajat Varshney Security Solutions Architect

"Built a sophisticated knowledge graph ingestion framework... processes approximately 180 million new records daily. His efforts in refining the data model were crucial for Attack Path Analysis."

AR
Anish Rajendran Lead Data & AI Architect

"Aarif is a very technical and dedicated team member to work with. He always comes back with excellent solutions. He takes the lead and does things proactively."

FV
Francisco Villalpando Data Engineer

"He showed great professionalism and a customer-centric mindset with the code and support he delivered, he was very responsive and always knew his way around the Cloud tooling."

DT
Digant Thakur Senior Machine Learning Engineer

"With his extensive knowledge on Azure, Azure Data Factory, and Databricks, Aarif was able to solve all the Data Engineering use cases effectively and rapidly."

SB
Shamit Bagchi AI Strategy, IIM Bangalore

"After the initial guidance provided you can blindly rely on Mohammed to deliver. This level of dedication means he will progress and reach great heights."

07 / OPEN SOURCE + SIDE PROJECTS

Additional Works

07 / WRITING

Thoughts from the Frontier

Critical Thinking is your Moat
Philosophy
Critical Thinking is your Moat
In a world of AI answers, the real advantage is asking better questions.
The Nuclear Paradox
Geopolitics
The Nuclear Paradox: Why Dalio's Cycles May Be Right and Wrong
Ray Dalio's framework for understanding the rise and fall of empires.
Nifty's 2025 Time Correction
Capital Markets
Nifty's 2025 Time Correction: What's Ahead in 2026
For many Indian investors, 2025 felt strange. The economy was growing...
Monero's Lost Mojo
Blockchain + Crypto
Monero's Lost Mojo and What Might Be Coming Next?
The long wait. A deep-dive into Monero's trajectory and future.
View all articles on Medium ↗
08 / BEYOND CODE

What Fuels My Thinking

Capital Markets
Nifty, global indices, macro cycles, and the intersection of data with financial decision-making.
Blockchain + Crypto
DeFi protocols, privacy coins, tokenomics, and the future of decentralized systems.
Frontier Tech
Agentic AI, knowledge graphs, quantum computing, and emerging paradigms that reshape engineering.
Global Politics
Geopolitical cycles, Dalio's debt frameworks, power transitions, and how they shape tech markets.
09 / ABOUT

Still Learning. Always Shipping.

"My career evolved from productionalizing ML models to architecting the Petabyte-scale data engines that power them, eventually converging at the high-stakes junction of AI, DataOps, and Cybersecurity."

With 7+ years across EY, Deloitte, and Wipro, I've built data platforms for banking, airlines, energy, public healthcare, and enterprise cybersecurity. From raw ingestion layers to LLM-powered knowledge graphs, I work across the full stack: Delta Lake, Airflow, Neo4j, multi-agent AI systems, Vertex AI MLOps, and the DevSecOps layer that wraps all of it.

Certified across Microsoft Fabric, Databricks (Data Engineering + GenAI), and Neo4j. Based in Chennai. Currently at EY. Always solving problems where the stakes are real.

Production-first. Governance-always.

Multi-cloud. Multi-agent. Multi-domain.

github.com/engg14000

linkedin.com/in/aarifmr