Yazdan Aghajanian
Data Engineer Permanent @National Pharmacies
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WORK HISTORY
Data Engineer Permanent @National Pharmacies
Adelaide, AU
Designing, building, and maintaining scalable ETL/ELT pipelines using Azure Data Factory and Azure Data Fabric, integrating data from multiple systems into centralized data lake and data warehouse environments.• Developing and optimizing complex queries, views, and schema designs in both SQL Server and Oracle databases to ensure high performance and reliable data access.• Creating and managing stored procedures, functions, and PL/SQL packages in Oracle to automate data transformation and enforce business rules.• Utilising Python and PySpark to process and transform large volumes of data in distributed computing environments, improving data handling efficiency and scalability.• Collaborating with cross-functional teams (business stakeholders, analysts, financial and technical teams) to gather and define data requirements, resolve data quality issues, and deliver high-quality, trusted, production-ready and validated datasets for reporting and analytics.• Implementing robust data quality checks, validation frameworks, and monitoring solutions to ensure data integrity across raw, staging, and curated zones.• Supporting the development and optimization of data warehouse models to enable efficient, accurate, and timely business intelligence solutions.• Actively contributing to a cloud-first data architecture on Azure, ensuring scalability, maintainability, and alignment with modern data engineering practices.
EDUCATION
Sheikh Bahaei University
Bachelor’s Degree, Computer Software Engineering
ABOUT YAZDAN AGHAJANIAN
Results-driven Data Engineer with a strong track record in designing and maintaining scalable data solutions within Azure cloud environments. Proficient in building end-to-end ETL/ELT pipelines using Azure Data Factory and Azure Data Fabric, integrating complex datasets into centralised data lakes and data warehouses. Experienced in optimising high-performance queries and developing stored procedures in both SQL Server and Oracle databases.Skilled in utilising Python, PySpark, and DAX for large-scale data transformations and analytical solutions that support robust reporting and decision-making. Committed to ensuring data integrity across raw, staging, and curated layers through comprehensive validation and monitoring frameworks.Collaborates effectively with cross-functional teams to define data requirements, resolve quality issues, and deliver clean, production-ready datasets. Focused on implementing cloud-native architectures and CI/CD pipelines to build scalable, efficient, and secure data platforms that enable enterprise-grade analytics and business intelligence.https://github.com/Yazdan-Aghajanian
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