About Author

Hi, I’m Sukhdeep Singh Saini.

I’m a Solution Architect at Nestlé in Milan, where I’ve spent the last five years designing and delivering enterprise cloud strategy across Azure, AWS, and GCP. My work spans large-scale endpoint migrations, identity management, container microservices, data platform modernisation, and the infrastructure decisions that keep a global organisation running.

But infrastructure is only half the story. I’m increasingly focused on what happens after the cloud is built — how we move, transform, and make sense of data at scale. At Nestlé, I’ve led the migration of ServiceNow data to Snowflake for data lake and warehousing capabilities. At Visy Industries, I engineered data stream pipelines with Apache Kafka (Connect and Streams) and built log analytics with machine learning on an Elastic stack. Data engineering isn’t something I’m pivoting toward — it’s something I’ve been doing alongside cloud architecture for years.

That said, I’m deepening that expertise deliberately. I’m currently pursuing a Professional Master’s in Data Science and Business Analytics at Bologna Business School (expected April 2027), and actively building with Databricks, Delta Lake, Spark, and the modern lakehouse stack.

Before Nestlé, I spent three years as a Microsoft Premier Field Engineer in Singapore, working with enterprise customers on Azure architecture, identity, and endpoint strategy. Before that, I was a Solution Architect at Visy Industries (Singapore) and Prudential Services, designing Azure and AWS solutions and managing infrastructure across the APAC region. My career started at Microsoft India and Dell, where I cut my teeth on SCCM, system engineering, and escalation support.

Over 17 years, I’ve worked across 15 countries — from India to Singapore, Australia, Norway, the UK, the US, and now Italy. That global exposure has taught me that the best architecture isn’t just technically sound — it has to work for people across cultures, time zones, and business contexts.

This blog

This is where I document what I’m learning and what I’ve built. You’ll find posts on cloud architecture, data pipelines, Terraform automation, Docker and Kubernetes, NLP and machine learning, and the occasional deep dive into PowerShell or SQL. Some posts are polished tutorials; others are working notes from the field.

What I bring to the table

End-to-end cloud architecture across Azure, AWS, and GCP at enterprise scale (Nestlé, Microsoft, Visy, Prudential)
Data engineering with Spark, Python, Databricks, Delta Tables, Unity Catalog, Kafka, and Snowflake
Data warehousing — Redshift, Synapse, BigQuery, and ETL with Glue, Data Factory, and Dataflow
Infrastructure as Code with Terraform, CloudFormation, and ARM Templates
Containerisation and orchestration — Docker, Kubernetes (EKS, AKS, GKE), ECS, Fargate
Enterprise endpoint management — Intune/Autopilot, SCCM/MEMCM, Chrome/CBCM at 50,000+ scale
Enterprise architecture thinking — TOGAF certified, with experience defining cloud-first strategies and governance standards

Certifications

TOGAF® Enterprise Architecture Practitioner (The Open Group)
AWS Certified Cloud Practitioner
Microsoft Certified: Azure Infrastructure and Deployment (AZ-100)
Professional Chrome Enterprise Administrator
PCEP – Certified Entry-Level Python Programmer
ITIL V3 Foundation

Education

Professional Master’s in Data Science & Business Analytics — Bologna Business School (expected April 2027)
Post Graduate Program in Cloud Computing — Great Lakes Institute of Management (2022)
B.Tech in Mechanical Engineering — Punjab Technical University

Currently exploring

Remote data engineering roles, freelance consulting in Azure Virtual Desktop and cloud architecture, and building my Databricks expertise to bridge the gap between infrastructure and insight.