Senior Data Engineer based in Dallas, TX (open to relocation). 8+ years building Snowflake-based ELT platforms and analytics-engineering layers at enterprise scale — Python, dbt, Apache Airflow, Kafka, and AWS in production environments with strict data integrity requirements.
Most of my career has been in healthcare data. Most recently at Innovaccer, I automated a 5M-record-per-day multi-source ingestion pipeline that cut operational overhead by 90%, and built the dbt-powered Snowflake presentation layer that eliminated expensive runtime queries across client-facing Power BI dashboards. Before that: UnitedHealth Group / Optum (large-scale HEDIS quality-measures engine on PySpark), Deloitte (government analytics), and Accenture (release automation, early career).
Most of my engineering history lives in private corporate codebases — what's on GitHub is a small but intentional public surface, currently focused on AI-augmented data and developer tooling.
🚀 AIAssist-JobSearch — Production-ready AI job search pipeline. Extensively-enhanced fork of santifer/career-ops with a live SSE dashboard, 5-axis Claude-Haiku semantic CV validator, resilient Playwright fill agent, and launchd-driven 24/7 automation. Natural extension of the Claude Code / LLM-agent integration work I did at Innovaccer — applying agent-orchestration thinking to a different domain.
🧪 Projects — Four end-to-end ML projects from earlier hackathon and personal work: Big Mart Sales · Corporate Crisis Risk · LTFS Loan Applications · Loan Prediction. Stack: scikit-learn, PyCaret, TensorFlow.
| Category | Tools |
|---|---|
| Languages | Python (advanced) · SQL (advanced) · PySpark |
| Data Platform | Snowflake · dbt · data modeling · ETL/ELT at scale |
| Orchestration | Apache Airflow · Kubernetes · Jenkins · CI/CD for data pipelines |
| Streaming | Apache Kafka · real-time event ingestion |
| Cloud & Storage | AWS (S3, EC2, RDS) · PostgreSQL · MongoDB |
| Search & Observability | Elasticsearch · Kibana · data quality monitoring · ingestion completeness tracking |
| BI & Reporting | Microsoft Power BI · Tableau |
| Healthcare Standards | HL7 · CCDA · 837/834 · HEDIS |
- 🎓 MS Business Analytics and Information Systems — University of South Florida (Aug 2018 – Dec 2019)
- 🎓 BE Electronics and Communication Engineering — Osmania University (Aug 2012 – Jun 2016)
- AI agents that survive real-world production constraints — ATS quirks, rate limits, race conditions, edge cases
- Snowflake / dbt / Airflow patterns for healthcare-scale ingestion (5M+ records/day per customer)
- Building tools I actually want to use daily, not toys