About me
Data Engineering, Management & Governance Analyst at Accenture, working with enterprise clients to build the pipelines and governance practices that turn raw data into something teams can actually trust — mostly on Databricks, Snowflake, and Fivetran.
I came into data engineering through a computer engineering background and a long-running interest in ML, which still shapes how I think about pipelines: the analytics or model on top is only as good as the plumbing underneath. I lean toward structured, repeatable processes and the unglamorous reliability layer where most of the real value lives.
Outside work I'm usually at a piano, in a pair of running shoes, or watching Formula 1. Currently chasing a sub-1:05 10k and queueing far too much EDM along the way.
What i'm doing
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Agentic Workflows
Exploring how AI agents and coding copilots can accelerate the build cycle — what they unlock, and where they still need a human in the loop.
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Databricks & Snowflake
Building lakehouse and warehouse layers — modeling, transforming, and serving data where the business actually uses it.
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Fivetran
Wiring up managed connectors from operational systems into the warehouse, so the data layer stays current without babysitting.
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Music
Piano at home, EDM on every commute — the creative outlet that keeps the engineering brain honest.
