About
The person behind the pipelines
I build the whole data stack, from ingestion pipelines and cloud warehouses through to the dashboards and models people actually use.
About
A bit more about me

- Based in
- Melbourne, Australia
- Also open to
- Sydney, Brisbane, Adelaide, Darwin, Hyderabad, relocating any time
- Core stack
- AWS, SQL, Python, Snowflake
- Education
- M.Data Science, Monash University
- Currently
- Data Analyst, UMNT Inc.
I'm a data professional based in Melbourne, working across financial services, government and community organizations. My background is building the full stack: ingestion pipelines, cloud warehouses, transformation layers, and the dashboards and models that sit on top of them.
At Principal Financial Group I found the root cause of an ingestion failure that had blocked a team for months, an unpaginated S3 listing call that silently stopped at 1,000 objects. Since then I've built a Snowflake warehouse from scratch over five years of market data, automated a weekly AWS and Airflow pipeline over APRA's public superannuation filings, and set up a not-for-profit's first analytics infrastructure, moving four disconnected systems into one cloud database serving 800+ members.
I finished a Master of Data Science at Monash University in 2026, after a Bachelor of Engineering in Information Technology from Vasavi College of Engineering in Hyderabad. Outside of the core stack (AWS, SQL, Python, Snowflake) I work with dbt, Airflow, Spark, Kafka and Power BI depending on what the problem needs.
I care about writing code that holds up under real use and making sure what I build is actually useful to someone, not just technically impressive.
The journey
From Hyderabad to here
Nine stops, one thread: build the thing, find out why it broke, build it better. Scroll for the rest.
Started engineering school
Vasavi College of Engineering, Hyderabad
Began a Bachelor of Engineering in Information Technology, with coursework in machine learning, deep learning and NLP.
First data engineering role
Principal Financial Group, Hyderabad
Joined as a Data Engineer on Principal Global Asset Management's product data team, owning daily ingestion of fund ratings data.
Found the bug that unblocked a release
Principal Financial Group
Traced a months-old ingestion failure to an unpaginated S3 listing call. A one-line fix restored the pipeline for the whole team.
Moved to Melbourne for a Master's
Monash University
Started a Master of Data Science, and took on Program Manager duties with the Monash Assistive Tech Team.
First geospatial platform
Weather Together, Monash University
Built a climate risk pipeline combining 130+ years of weather data with live BOM feeds into suburb-level risk scores.
Finished the Master's
Monash University
Completed the Master of Data Science, and kept building, a Snowflake warehouse, an automated APRA pipeline, an AI agent.
Built a nonprofit's first data platform
UMNT Inc., Darwin
Took a community centre from four disconnected spreadsheets to one cloud database and a live Power BI dashboard, from scratch.
Counted the nation
Australian Bureau of Statistics
Worked the 2026 Census as a field officer, collecting data face to face for people the standard online process doesn't reach.
Looking for what's next
Open to data engineering & AI roles
Still writing pipelines, still chasing down root causes, and looking for a team that wants someone who does both.
Languages
What I speak
- EnglishNative / Full Professional
- UrduNative / Full Professional
- HindiNative / Full Professional
- TeluguConversational
- ArabicConversational
Outside of work
Beyond the stack
A few things that have nothing to do with data pipelines, and a couple of things that were built on volunteer time instead of a payroll.
Volunteering
Program Manager
2024 – 2025Monash Assistive Tech Team
Led automation of 3D-printed assistive devices, combining AI-assisted design with IoT components to improve accessibility outcomes for children with physical disabilities.
Volunteer Educator
2021 – 2022Hyderabad Welfare
Delivered 150+ online lessons to underprivileged students globally, adapting teaching style across age groups and cultural backgrounds.
Contact
Let's talk data
Open to data engineering, analytics and AI engineering roles in Melbourne, Sydney, Brisbane, Adelaide, Darwin or Hyderabad, and open to relocating any time. The fastest way to reach me is email, I usually reply within a day.