Senior Software Engineer, Data Integration

Built and operated Python and Go integration services for a regulated legal practice-management platform, connecting document, matter, deadline, email, and client systems into production workflows. Designed Airflow, PostgreSQL, and API-based ingestion pipelines that synchronized more than 180,000 records daily using incremental checkpoints and retry logic.

Created Pydantic-based mapping and validation layers plus SQL constraints to normalize fragmented source data into canonical matter and deadline models, reducing reported data defects by 41%. Built integration test suites, Kubernetes deployment checks, smoke tests, Sentry alerts, and GitHub Actions workflows.

Investigated production incidents across inbound files, REST APIs, jobs, logs, and PostgreSQL tables, typically isolating missing or delayed records within 30 to 45 minutes. Developed LLM-assisted tooling to summarize failed ingestion runs, classify parser errors, and suggest mapping changes for engineering review.

Built production ingestion, search, and automation services for a government contracting platform integrating public procurement feeds, customer documents, enterprise workflows, and AI-assisted reporting. Developed Python and Celery services that loaded daily SAM.gov, HigherGov, and customer API data into SQL Server and PostgreSQL, handling more than 30,000 solicitation updates weekly with deduplication and audit logging.

Developed parser and mapping workflows for PDFs, spreadsheets, forms, and API payloads using Tesseract OCR, Pydantic validation, and source-linked records. Implemented pytest-based integration tests using seeded responses, malformed-document fixtures, and database state checks, reducing late-stage defects by roughly one third.

Owned troubleshooting for missed documents, stale opportunities, and incorrect mappings across queues, parsers, stored procedures, vector indexes, and application APIs. Coordinated deployments and go-live support with customer technical teams, product managers, and implementation leads, and created LLM-assisted operations tools for failed-batch analysis and mapping notes.

Delivered full-stack financial product features and backend integrations focused on external APIs, relational data correctness, account workflows, and production support. Integrated Stripe, Twilio, SendGrid, and partner REST APIs into Python and Node.js services with webhook validation, retry queues, and reconciliation reporting.

Built PostgreSQL schemas, Django REST Framework endpoints, and React administration screens for onboarding and account-management workflows. Investigated data correctness issues across API payloads, Celery jobs, Redis caches, and PostgreSQL tables to resolve payment and notification-state mismatches.

Added pytest integration tests, mocked third-party services, GitHub Actions pipelines, and Dockerized local environments to improve release confidence across two-week sprint deployments.

Built web applications, backend services, and client-specific SaaS integrations across healthcare, finance, and operations domains. Implemented healthcare integrations using HL7v2-style ADT feeds, CSV extracts, and REST endpoints, mapping patient, appointment, and billing data into PostgreSQL-backed workflow applications.

Developed Python Django and Flask APIs with MySQL, PostgreSQL, and MongoDB for scheduling, billing, notifications, and reporting. Created automated pytest and Jest tests for parsers, API endpoints, and user workflows to support safer releases for client-specific transformations.

Deployed and maintained applications on AWS EC2, S3, RDS, and Heroku, including backup processes, environment configuration, and production fixes for healthcare and small-business SaaS clients.