I am focused on the intersection of data engineering, analytics and applied AI. I enjoy turning messy data into trustworthy, usable systems and experimenting with LLM-based applications that solve practical problems.

• Building foundations in Python, SQL, ETL/ELT and relational data modeling
• Developing cloud data skills with Microsoft Azure and Microsoft Fabric
• Exploring LLMs, RAG, LangChain, LangGraph and local models with Ollama
• Applying machine learning to anomaly detection, predictive analytics and data-driven decision-making
• Interested in roles where I can learn quickly, ship useful work and grow into a strong production data engineer

• Junior / Associate Data Engineer
• Azure or Microsoft Fabric Data Engineer
• ETL / ELT Developer
• Analytics Engineer or Data Quality Engineer
• Python Data Automation Engineer
• Junior AI / LLM / RAG Engineer
• Data Engineering, AI or Analytics Internships / Graduate Roles

My strongest job-market combination is Python + SQL + ETL/ELT + Azure/Fabric. My LLM, RAG and agentic-AI skills are an additional advantage when demonstrated through working projects, testing and evaluation.

Python SQL Bash

Data Ingestion ETL/ELT Data Cleaning Data Transformation Data Quality Data Validation Relational Data Modeling Data Analysis

LLMs Prompt Engineering LangChain LangGraph Ollama RAG Concepts REST API Integration

Isolation Forest Anomaly Detection Predictive Analytics Model Evaluation

Pandas NumPy Matplotlib Exploratory Data Analysis

MySQL Oracle SQL

Microsoft Azure Microsoft Fabric

Linux Docker Git GitHub REST APIs Networking Basics

• Microsoft Certified: Fabric Data Engineer Associate — Microsoft
• Microsoft Certified: Azure Data Fundamentals — Microsoft
• Oracle AI Database SQL Certified Associate — Oracle
• Agentic AI Certified Foundations Associate — Oracle
• Deloitte Data Analytics Job Simulation — Forage (virtual experience)