Summary
Anirban Chowdhury is a Senior Data Engineer based in Australia with a decade of experience building scalable data platforms across finance, insurance and retail. He designs and implements end-to-end ETL pipelines using Azure Data Factory, Databricks, Snowflake and Terraform/Pulumi, and has productionized IoT telemetry and search systems that serve millions of queries with sub-100ms latency. His background spans full-stack and ML work—from automation and Selenium-driven testing at BlackRock to developing regression and NLP models for energy forecasting and sentiment analysis. Known for pragmatic Infrastructure-as-Code and data governance practices, he blends software engineering rigour with data-science curiosity rooted in a Master’s in Data Science from Monash. Colleagues rely on him to turn messy operational data into reliable BI and ML-ready assets while continuously automating repeatable processes. He’s a lifelong learner—“a forever data science student”—who brings hands-on coding experience across Java, Python, C# and cloud-native tooling.
10 years of coding experience
6 years of employment as a software developer
Engineer’s Degree, computer and communication, Engineer’s Degree, computer and communication at Manipal Institute of Technology
Master's degree, Data Science, Master's degree, Data Science at Monash University
English, Hindi, Bangla