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Data engineer, heading toward AI.

I'm a data engineer based in Melbourne, two-plus years into building the unglamorous plumbing that analytics actually runs on — 20+ automated ETL pipelines moving millions of transactions a month for five enterprise clients across Australia and New Zealand.

Lately the work has pulled toward AI: multi-agent data-QA workflows, agentic report generation, an LLM call analyzer that won our internal hackathon, and a job-search OS I built end-to-end on Claude Code. I'm heading deliberately toward applied LLM / agentic AI engineering, and pairing it with real production software-engineering depth.

I care about the boring parts that make data trustworthy — clean schemas, validation that catches bad rows before they reach a report, pipelines a business can rely on without babysitting them. AI is most useful to me exactly there: accelerating how I build, and hardening how I check.

I hold a Master of Data Science from Monash University. I'm relocating to India and open to remote data & AI roles across Australia, India, the Gulf and Singapore.

Data engineering
  • Python
  • SQL
  • ETL pipelines
  • Snowflake
  • Data modelling
  • Feature engineering
  • KNIME
Machine learning & AI
  • scikit-learn
  • LLM & agentic workflows
  • Multi-agent orchestration
  • Prompt engineering
  • Forecasting
  • Anomaly detection
  • PySpark
Cloud & infrastructure
  • Azure
  • AWS
  • Databricks
  • Terraform
  • Docker
BI & visualisation
  • Power BI
  • Tableau
  • Data storytelling
  • KPI analytics

Experience

Jun 2024 — Present

Data Engineer

Purchasing Index Data Analytics · Comprara Group · Melbourne

Client-facing analytics consulting over supplier and transaction datasets for enterprise clients across AU & NZ. Own ETL pipelines, ML models, agentic AI automation and BI for five accounts, including the firm's highest-billing client.

Aug 2023 — Nov 2023

Data Engineer Intern

Victorian Centre for Data Insights (VCDI) · Melbourne

Built a distributed anomaly-detection pipeline in Databricks with PySpark (+20% detection accuracy) and shipped a Power BI solution adopted by senior Department of Transport stakeholders.

Jan 2021 — Jul 2021

Research Data Analyst

Terminal Ballistics Research Laboratory · DRDO

Analysed blast-wave data with statistical models and Butterworth filtering to predict noise levels, improving prediction accuracy ~20% and informing defence-equipment design.

2022 — 2023

Master of Data Science

Monash University · Melbourne

Machine learning, statistics, communicating with data, applied forecasting, high-dimensional analysis. Preceded by a B.E. from Thapar University.

Let's talk

Let's build something.

dhruvnirmal2111@gmail.com

Open to remote data & AI roles — Australia, India, and the Gulf / Singapore. Currently in Melbourne, relocating to India.