Data Engineer | B. Agric (Animal Science) | AgriTech Automation & Analytics | Agribusiness Logistics | TEFL Certified Tech Writer
• Technical Skills: Python (Programming Language), SQL, Data Analytics, Software Development, Automation Pipelines, Apache Airflow, AWS S3 bucket, Google Cloud Storage.
• Industry Skills: Animal Science, Logistics Management, Agribusiness, Supply Chain Operations, Fleet Tracking.
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🔭 I am a Data Engineer specialized in bridging the gap between livestock production systems, agribusiness supply chains, and automated software pipelines. Holding a formal Bachelor of Agriculture (B. Agric (Hons.)) honors degree in Animal Science and Animal Production, I possess deep domain knowledge of poultry and livestock genetics, breeding, nutrition and physiology, herd management, and agricultural operations.
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I build the data infrastructure that powers modern agricultural technology because I understand the vast, complex, and messy nature of biological data—from IoT livestock sensors to experimental trials. I bridge this domain knowledge with technical engineering to construct stable, automated data pipelines.
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To complement my agricultural background, my technical expertise is built on a solid foundation of prior professional roles as a Software Developer and Data Analyst, paired with certifications from Dataquest and Alison. I have a proven track record of mastering Python engineering, database architecture (SQL), automated data pipelines, and Object-Oriented Programming (OOP) to solve real-world corporate challenges. As a TEFL-certified Technical Writer, I also specialize in breaking down complex technical workflows into clear, accessible documentation.
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Rather than just consuming data, I focus on the heavy backend extraction, transformation, and structural integrity of data systems using Python and SQL.
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Currently based in the Gulf region, I work within high-frequency logistics operations. This role gives me daily, practical experience with route optimization, fleet data tracking, and cold-chain asset integrity. I apply my software development skills directly to this domain—building clean, modular Python scripts to optimize data pipelines and resource tracking.
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⚙️ Core Technical Skills: Python (OOP, Automation, File I/O), SQL, Data Wrangling, CSV Telemetry Log Analysis, Tech Writing, Documentation.
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🌾 Domain Expertise: Animal Science, Precision Livestock Logistics, Cold-Chain Distribution Management, Agribusiness Systems.
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🌱 I am actively seeking global opportunities and looking to apply my data engineering toolkit to forward-thinking AgTech startups, smart farming networks, data-driven biotechnology teams that value multidisciplinary talent.
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👯 I am looking to collaborate with good people to add lasting values to growth-oriented organizations, through hard work, excellent performances, transparency, honesty and commitment...and also to work within a dynamic, motivating and enriching environment while developing more skills and competences, and applying all acquired in developing resources that will enhance the organization’s overall worth.
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Let's connect!
Technical Focus:
-🛢️ Databases & Transformations: SQL, Data Modeling, Database Schema Design
-🐍 Pipeline Automation & Scripting: Python (Pandas, NumPy for heavy ETL and data manipulation), Airflow, AWS S3 bucket or Google Cloud Storage
-⚙️ Environments: Jupyter Notebooks, Version Control
- 💬 However, you can ask me about:
- Python (Numpy, Pandas, Matplotlib, Seaborn, Researchpy, Scipy, SymPy, Plotly, PyTorch, PyGames, Turtle, Kivy, Tkinter, SciKit-Learn, Keras, PyTorch, Django and Flask).
- JavaScript (Angular JS, React JS, Express JS/Node JS, and JQuery).
- SQL (Oracle, MySQL, PostgreSQL, Transact-SQL, SQLite, PL/SQL, PopSQL, SQL*Plus, Sybase SQL Server and Microsoft SQL Server).
- Cloud Computing (MS Azure, GCP and AWS).
- Docker/Kubernetes.
- HTML/CSS.
- NoSQL (MongoDB).
- Wordpress.
- MS Excel.
- Power BI.
- Tableu.
- Git.