New York City Metropolitan Area
I build and operate production data infrastructure for ESG and Government Climate products, focusing on system integration, validation, and reliability under real-world constraints.
• Own production pipelines generating ESG and climate scores across thousands of entities, with strict correctness, auditability, and SLA requirements.
• Designed and built automated validation and replay frameworks that reprocess real production artifacts across environments, reducing feedback loops from days to minutes.
• Built parameter ingestion and synchronization pipelines across Dev, Beta, and Prod with human-in-the-loop approval, diffs, and full audit trails.
• Unified fragmented workflows across Research, Product, and Engineering by designing clear interfaces and integration boundaries for complex domain logic.
• Led modernization of large legacy Python systems (350k+ LOC), upgrading runtimes and dependencies while improving CI safeguards and release discipline.
• Developed internal tooling and dashboards that replaced manual data inspection, improving transparency and reducing validation time from days to under an hour.
• Act as the technical bridge between complex domain logic and production systems, enabling stakeholders to reason about edge cases, tradeoffs, and failure modes during releases.
• Present internally on scalable testing, validation, and reliability for complex data pipelines.