Home
Software Engineer · Data Engineer
I build data systems for financial workflows — validation pipelines, ingestion frameworks, and trading infrastructure that operate reliably in production. Currently at Talcott Resolution, where my work feeds directly into hedging, reporting, and actuarial processes. My primary tools are Python and SQL. I focus on systems where data quality matters: catching schema drift before it reaches downstream consumers, designing for failure modes, and keeping pipelines maintainable as requirements evolve.Open To
Current Focus
- Building validation and reconciliation systems for financial datasets across heterogeneous sources
- Designing Python-based tools for market data analysis and signal generation
- Deepening into quantitative methods — time-series analysis, backtesting, and trading system architecture
Work Highlights
Full details on the Projects page.
Financial Data Validation Platform
Python pipelines that detect schema drift, stale data, and identifier mismatches across Oracle and SQL Server before they reach downstream risk workflows.
Azure Ingestion Pipelines
Containerized jobs with retry logic, structured logging, and environment-aware execution for processing large financial datasets at scale.
Trading Execution System
Personal project: ingests intraday market data, evaluates EMA and breakout conditions, and submits orders through Alpaca's API with PDT compliance built in.
Approach
Systems I build are:
- Predictable — fail loudly with clear signals, not silently
- Honest — documented assumptions, explicit schemas, typed where it matters
- Maintainable — readable by the next engineer without a walkthrough
- Useful downstream — consumers shouldn't need to work around my output
Location
Open to opportunities in Boston, Florida, Utah, and Texas. Open to remote.