Senior Data Engineer with 4+ years building the infrastructure behind enterprise analytics — from 10M+ event pipelines to RAG-based AI systems at scale.
Building infrastructure that turns raw data into decisions. Four years across three cloud platforms, two continents, and one consistent goal: reliability at scale.
I'm a Data Engineer with a Master's in Computer Science from Texas Tech (GPA 3.7) and hands-on experience at Wells Fargo, Cognizant, and Cipla. I specialize in the infrastructure layer — the systems that make analytics possible before anyone can ask a question.
At Wells Fargo, I designed star and snowflake schemas serving 12+ business domains, operationalized 12 production deep learning models, and built RAG pipelines enabling natural-language querying over structured and unstructured enterprise data.
At Cognizant, I managed 50+ TB of enterprise data across Hadoop, Kafka, and Azure — while mentoring 5 engineers and maintaining zero SLA violations across every critical workflow. I believe good data engineering is invisible: it just works.
Built an end-to-end data pipeline on GCP using BigQuery and Python to ingest, transform, and model 2M+ healthcare records. Integrated Generative AI with Retrieval-Augmented Generation (RAG) — enabling natural-language queries over structured clinical data and surfacing patterns invisible to manual analysis. Results delivered through interactive Tableau dashboards for clinical decision-makers.
Open to senior data engineering, AI/ML engineering, and technical lead roles. Reach out directly.