About
I am a Data Engineer passionate about integrating Artificial Intelligence into real business processes. My strong foundation in Supply Chain Management allows me to identify practical use cases where AI creates measurable impact and competitive advantage for companies.
Master Of Sciences
Mr Alex Leonel Martinez Calizaya.
- Birthday: March 2, 1985
- Website: www.msc-martinez.com
- Phone: +61 415 542 208
- City: Sydney, Australia
- Age: 40
- Degree: Double Master
- Email: [email protected]
- Freelance: Unavailable
Technical Skills
I combine expertise in Data Engineering, Machine Learning, and Business Intelligence with over 10 years of industry experience. My strengths lie not only in technical skills but also in communication, problem-solving, and collaboration, enabling me to translate business needs into AI-driven solutions.
Resume
With professional experience across finance, health insurance, mining, construction, and the food industry, I specialize in designing scalable data pipelines, automating processes, and applying AI in real business contexts. I constantly refine my skills to deliver reliable, high-impact solutions.
Summary
Alex Martinez
Innovative and deadline-driven Supply Chain Analyst with 5+ years of experience designing and developing user-centered digital solutions from initial concept to final, polished deliverable.
- Forestville, Sydney, Australia, NSW 2087
- +61 415 542 208
- [email protected]
Education
MASTER - PROJECT MANAGEMENT
2017 - 2018
The University of Wollongong, Sydney
The master provides comprehensive project management skills and capabilities on the full project lifecycle; from project initiation, planning, execution to project closing.
MASTER - SUPPLY CHAIN MANAGEMENT
2017 - 2018
The University of Wollongong, Sydney
Gives a deep understanding of diagnose processes and supply chains and how to implement a supply chain strategy within an organisation. Skills and capabilities are developed on topics such as forecasting, sales, and operational planning and procurement to name a few.
MICRO MASTER - STATISTICS AND DATA SCIENCE
2020 -2021
Massachusetts Institute of Technology, Online
A practical understanding of the fundamental methods used by data scientists including; statistical thinking and conditional probability, machine learning and algorithms, and effective approaches for data visualization.
Professional Experience
Data Engineer | AI Focus
2024 - Present
Padua Solutions, NSW, Australia
- AI-Powered Financial Document ETL Pipeline - I’m developing an end-to-end pipeline that leverages Large Language Models (LLMs) to analyze thousands of financial documents, extract structured data, and store it in a PostgreSQL database for advanced analysis and reporting.
- Morningstar ETL Project – Financial Data Automation - I designed and implemented a full ETL pipeline to extract, transform, and load financial product data from Morningstar into a PostgreSQL database, ensuring data quality, consistency, and accessibility for advanced analysis.
- Automated Financial Reporting System - I developed an automated reporting system that consolidates data from multiple databases and resources to generate weekly financial reports. The system leverages Python, SQL, and BI tools to streamline report generation, reduce manual effort, and ensure accuracy and consistency.
DATA ANALYST SPECIALIST
2021 - 2024
Westfund Health Insurance, NSW, Australia
- Sourcing data from the data warehouse using SQL and Python.
- Automation tasks, such as: automating repetitive tasks, web scraping, data processing, and file management.
- Implementation of customer retention strategies with BI technologies.
- Data extraction from internal or external sources, data engineering and data pipelines creations.
- Reporting automatisation using tools in Data Analytics, Machine Learning, and Business Intelligence.
Portfolio
This portfolio showcases projects in data integration, data warehousing, modeling, reporting, and AI-powered analytics—helping organizations transform raw data into actionable insights for smarter decision-making.
- All
- AI PRODUCTS
- DATA ANALYST
- AUTOMATIZATION
- MACHINE LEARNING
Areas of Interest
I focus on Data Engineering, AI integration, and Business Intelligence. My interest lies in applying AI to optimize operations, enhance decision-making, and drive digital transformation—whether on-premise or in the cloud.
Project Management Support
Project management in business intelligence (BI) involves planning, designing, and implementing BI projects to meet specific business goals and objectives.
BI and Supply Chain
Business intelligence (BI) can be a valuable tool for supply chain management, as it can provide insights into key performance metrics and help identify areas for improvement.
Python Automatization
Python is a popular programming language used for automation tasks due to its simplicity, versatility, and wide range of libraries and tools available. Python can be used for various automation tasks, such as automating repetitive tasks, web scraping, data processing, and file management, among others.
Qliksense Developer
Qlik Sense is a cloud-based data analytics platform developed by Qlik, a software company that specializes in business intelligence and data visualization tools.
Data Engineering
Data engineering is the process of designing, building, and maintaining the infrastructure and tools necessary for the effective management, processing, and analysis of large volumes of data.
Machine Learning
Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to learn from and make predictions or decisions based on data.