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Naveen Subramaniam

@naveensubramaniam

Principal Data Engineer at Jones Lang LaSalle who cut batch-job latency by 95% across 10TB/day.

At Jones Lang LaSalle, I architected end-to-end data pipelines with PySpark and Python in Databricks, processing 10TB of data per day. I reduced batch-job latency by 95% and maintained 100% SLA compliance across critical data feeds.

Earlier at CGI (Formerly Logica), I worked on Azure data platforms and Microsoft BI solutions for clients including SHELL, PTV, and PostNord. My work included leading a Unity Catalog migration of more than 1,000 catalog tables and designing data models, ETL processes, and analytics platforms.

Experience

Work history, roles, and key accomplishments

Principal Data Engineering

Jones Lang Lasalle

Nov 2019 - Dec 2025 (6 years 1 month)

Architected end-to-end data pipelines using PySpark and Python within the Databricks ecosystem, ensuring reliable data ingestion using various Azure resources. Led Unity Catalog migration of 1000+ tables, improving data governance and reducing access-related incidents by 80%.

PySpark Python Databricks Azure ADF Synapse Kafka Event Hub Unity Catalog GitHub Copilot Cursor Snyk Wiz

Lead Analyst

CGI

Nov 2004 - Nov 2019 (15 years)

Worked for multiple clients over 15 years, leading data platform migrations and BI solutions. Designed and implemented data flows, data models, and ETL processes for various projects including Shell, FFFS, PTV, and PostNord.

Azure ADLS ADF USQL Databricks SSIS SSAS SSRS Power BI Data Vault C# .NET SQL Server Oracle

Programmer Analyst

Data Software Research Company

Feb 2004 - Nov 2004 (9 months)

Responsible for UI design and web development, including requirements gathering, design, development, and delivery. Worked extensively on user interface Web Forms using VB, ASP, C#, DHTML, and ASP.NET 1.0.

ASP C#HTML DHTML ASP.NET SQL Server MS Access