Irina Tanciuc

• Delivered data transformations across Databricks and Microsoft Fabric platforms using dbt, PySpark, and Spark SQL. Automated sensitive field tagging and metadata application using PySpark & Unity Catalog
• Acted as Release Manager for an insurance client, coordinating production deployments, CI/CD pipelines (Jenkins, ActiveBatch), and onboarding for new team members
• Identified high-cost drivers in Snowflake and provided architectural recommendations (e.g., medallion architecture, dbt refactoring, Git workflows) for cost reduction and improved development practices
• Conducted discovery for Data & AI platform uplift in healthcare; compared Databricks vs Snowflake, demonstrated governance and AI features (masking, semantic views, Cortex Analyst), and recommended dbt with custom macros for automated sensitive data masking.
• Supported clients in adopting dbt best practices through documentation, training, and hands-on implementation guidance

• Built testable, modular dbt models during data warehouse migrations, and contributed to enterprise data documentation and governance (e.g., business glossary)
• Improved reporting by updating Power BI dashboards and SQL layers to reflect evolving standards (e.g., NAPLAN), and collaborated directly with client stakeholders
• Created internal Looker dashboards that enabled budget forecasting, reducing project overrun and improving financial visibility across projects. Used Fivetran to retrieve the data from Salesforce, dbt for data modelling and Git for version control

Trainee program with focus on following topics:

• Introduction to Big Data Management & Data Architecture
• Data Integration (Talend) & Distributed Systems (Spark)
• Data Warehousing (Snowflake), Data Catalog Platform (Collibra)
• Python Programming, SQL
• Agile Methodology & Scrum

• Enabled effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Reduced manual inputs by automating the report generation process through the use of tools and programming techniques, such as SQL (Redshift), DW concepts & Excel
• Mined DW platforms to fetch raw data and analysed it to prepare insightful statistical reports (e.g., QuickSight)

• Identified, defined, and documented analytical reporting needs - baseline problem statement through deep-dive analytics
• Consolidated information into cohesive and insightful analytical reports for use in decision-making
• Wrote detailed procedures for manual and automated reporting processes and for use in training

• Prepared detailed procedures and other relevant documentation
• Used MS Access to create and further develop user templates and database applications
• Supported test management