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.
"Critical thinking is your moat. In a world of AI answers, the real advantage is asking better questions."
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.
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.
Optimized large-scale data transformation logic using advanced SQL/Spark processing for 35% faster execution. Built Python utility frameworks reducing dev effort by 30%.
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%.
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.
Architected modern lakehouse solutions and distributed PySpark pipelines on Delta Lake, orchestrating the ingestion, transformation, and strict governance of petabyte-scale enterprise datasets.
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
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
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
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
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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.