Peter Luro
I build systems that actually hold up in production: financial data pipelines, reporting workflows, and trading tools that need to run reliably and on time.
At Talcott Resolution, I work on data pipelines and reporting systems used by actuarial and hedging teams. A lot of the work is making sure large, messy datasets from XML, JSON, and SQL sources get processed correctly and consistently, and that downstream reports are accurate and delivered when they are expected. I have spent a lot of time dealing with edge cases, fixing data issues, and improving reliability across these workflows.
Most of what I build is in Python, with Oracle and SQL Server on the backend and Azure handling compute and orchestration. I have also worked on APIs that trigger processing jobs and generate reports on demand.
Outside of work, I have been building trading and market analysis tools. This includes pulling market data, testing strategies, and automating parts of the decision process. It has been a good way to apply what I do professionally to something more open-ended.
Open To
Current Focus
- Building Azure Container App services that give actuaries on-demand XLSX report generation without touching batch infrastructure
- Configuring Autosys job scheduling for production workflows with structured error handling and dependency chains
- Designing and implementing file loading strategies into a SQL Server data lake, handling complex source formats and schema variation at ingestion
- Provisioning Azure resources and pipelines to support nightly hedging batch processes with reliable, environment-aware execution across DEV, QA, PTE, and PROD
Work Highlights
Full details on the Projects page.
Location
Open to opportunities in:
- Boston
- Florida
- Utah
- Texas
- Remote