About
I'm a data engineer building production systems at the intersection of modeling, automation, and platform design. My work includes real-time process simulation on AWS, large-scale deployment orchestration for asset monitoring systems, and modern warehouse pipelines using dbt, Prefect, and BigQuery.
I studied Chemical Engineering at The Cooper Union (BE + ME) in New York City and bring that systems mindset into data engineering work where correctness, operational constraints, and domain context matter. Currently based in Atlanta; previously lived and studied in NYC.
Selected Work
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science
Real-Time Process Simulation
Built a real-time process simulation system on AWS Lambda, ingesting 50+ sensor tags across 4 facilities with steady-state mass balance modeling, unit normalization, and drift-adjusted forecasts, replacing manual process engineering calculations
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rocket_launch
Scaled Model Deployment Orchestration
Engineered a staged orchestration system to deploy 10k asset monitoring models in ~2 months (vs. ~8–10 months manually), using dependency-aware sequencing and telemetry-driven throughput control to eliminate deployment instability
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candlestick_chart
Financial Data Pipeline code GitHub
Batch financial data platform with idempotent ingestion into BigQuery, SCD2 security master via dbt snapshot, split-adjusted pricing, and Prefect orchestration with 15+ data quality tests
Tech Stack
Resume
Links
- link
- code