Data Engineer specializing in building scalable data pipelines and LLM-powered applications.
I'm a Data Engineer passionate about building robust data infrastructure and leveraging Large Language Models to solve complex problems. I specialize in designing scalable ETL pipelines, data warehousing solutions, and AI-powered applications.
When I'm not architecting data systems, you'll find me experimenting with the latest LLM frameworks, exploring new technologies in the data space, or writing about data engineering best practices. Outside of work, I enjoy hiking, rock climbing, running, reading fiction, and exploring movies and gems on YouTube.
Eli Lilly and Company
Lead the data migration of multiple acquired companies. Building LLM-powered data pipelines and RAG systems. Leading data infrastructure modernization initiatives.
AI Palette
Built and optimized ETL pipelines using Airflow and Spark. Reduced execution time by 90% through Jenkins automation and cut infrastructure costs by migrating to Kubernetes. Implemented an in-house LLM-powered translator.
Dataque
Built full-stack data platform using FastAPI, PostgreSQL, and Python. Designed ETL pipelines processing 7M+ data points with 25% improved accuracy. Led product development and helped startups scale through data-driven solutions.
Leadlytics
Led automation projects using Python and Selenium, extracting 2M+ user records. Built data pipelines for US clients using SQL and Bash scripting. Managed a team of 3 and drove B2B lead generation initiatives.
Freelance
Helped local businesses and early-stage startups build their digital presence. Generated leads through outbound campaigns and LinkedIn outreach for D2C companies.
Have a data challenge or LLM project in mind? Let's talk.