Data Engineer | Data Scientist | Cloud Development
I am an analytical professional with a unique trajectory, having transitioned from Data Scientist at Lombard Insurance to specializing in Data Engineering and Cloud Development. My foundation in production data science gives me crucial insight into modeling needs and data quality requirements. I leverage this experience, combined with intensive training in ETL pipeline design, containerization (Docker), and full-stack data solutions, to build robust data infrastructure. I am driven by automating complex data workflows and am currently seeking Data Engineer roles where I can build reliable, scalable data platforms using Python, SQL, and Cloud technologies.
📂 Project Portfolio
1. Portfolio AI Assistance (Capstone)
Role: Front-End & System Designer | Tech: Streamlit, Python, APIs
To solve the initial content generation hurdle for job seekers by creating an intelligent Streamlit application. Outcome: Delivers reliable, ready-to-use portfolio summaries, increasing user efficiency by over 80%.
2. Smart Data Manager – Python ETL Pipeline
Role: ETL Pipeline Developer | Tech: Python, pandas, pyodbc, SQL Server
Demonstrates a comprehensive Python-based ETL pipeline for managing business data. Challenge: Handling schema drift and null values during the extraction phase required robust error-checking logic. Outcome: Automatically standardizes messy source data, reducing reporting latency from hours to minutes.
3. 🚗 AI Car Inspector (Deployment)
Role: DevOps & Deployment Specialist | Tech: Gradio, Gemini 2.0 Flash, Docker, Kubernetes
AI app using Gemini 2.0 Flash for car image analysis. Containerized with Docker and deployed on a Kubernetes cluster. Challenge: Deploying a multi-component AI application onto Kubernetes required detailed YAML configuration and volume mapping. Outcome: Application is highly resilient and scalable, demonstrating mastery of enterprise-level DevOps.
🛠Technical Skills
| Domain | Tools & Technologies |
|---|---|
| Data Engineering | Python, pandas, SQL Server, ETL Design, pyodbc |
| AI/ML & Apps | Streamlit, APIs, Gradio, Gemini 2.0 Flash, Front-end UI |
| DevOps & Cloud | Docker, Kubernetes, GitHub Actions, Cloud Concepts |
| Version Control | Git, GitHub |
👋 About Me
My journey began as a Data Scientist at Lombard Insurance, providing critical, production-level insight into modeling needs and data quality assurance. This foundational experience inspired a strategic pivot to Data Engineering, where I now specialize in building the reliable, scalable cloud infrastructure that underpins advanced analytics. I focus on bridging the gap between complex analytical models and robust, enterprise-ready data systems, ensuring high performance from ingestion to deployment.
📬 Contact & Socials
