Priya Govender

I have a deep passion for working with data, particularly in designing, building, and working on transforming raw data into valuable insights, as an Aspiring BI Engineer. The end to end process of extracting and turning complex data structures into efficient and scalable systems that support data-driven decision-making is what drives my enthusiasm. With over 6 years of experience in data management and analytics across various companies, I have demonstrated my ability to work effectively in agile environments, contributing innovative and goal-oriented solutions.

Throughout my career, I have held key roles in BI development, SQL development, and report automation. My experience includes post-implementation support, system development, working with diverse datasets, and mentoring, all of which have sharpened my detail-oriented and analytical skills. I am quick to grasp new concepts and maintain a level-headed approach in high-pressure situations.

I pride myself on being a friendly and approachable team player, adapting seamlessly to different work areas. I am committed to continuously expanding my knowledge, particularly in data analytics, data management and AI. I believe that my skills and work ethic can significantly impact any organization.

BI Developer Level 2 - Games Global

(2025-02)

• Designed and implemented enterprise data standards and dimensional modelling principles across the reporting platform.
• Designed and built a SQL Server data warehouse from the ground up, including staging, transformation and dimensional (fact and dimension) layers.
• Developed scalable ETL/ELT pipelines to ingest data from multiple source systems into a centralized data warehouse (Via APIs such as Jira (JQuery), Monday.com, Azure DevOps, Replicon) using VS (C#)
• Defined business facts, dimensions and relationships to support a robust star schema for enterprise reporting.
• Currently leading the migration of existing Power BI reports onto the new data warehouse to improve performance, scalability and governance.
• Developed proof-of-concepts using Azure Functions to extract data from multiple sources and load data into Snowflake and Azure SQL environments.
• Data analysis and Data Visualization using Power BI to deliver analytical solutions for various stakeholders
• Data quality and governance (Row level security implementation, repos for version control)

BI Analyst - RCL Foods

(2022-10 - 2025-01)

• Data quality and governance to ensure accuracy and consistency of data
• Data modelling and integration (ETL processing)
• Performance Optimization to manage large datasets
• Documentation (Business requirements, Technical specifications and training / Handover)

BI Analyst/ Developer - Retailability

(2022-01 - 2022-09)

• SQL Query Scripting for data modelling (Qlik Scripting and Qliksense Scripting)
• Post Implementation support (Ad-hoc and statistical investigations)
• Functional Requirements documentation

System Analysis/ Development - IFS Africa

(2019-05 - 2021-12)

• System Development using SDK and API to replicate SAP Business One transactions using an Excel based Tool allowing administrators to work on Expenses, income, procurement and the inventory modules of SAP by processing transactions into SAP using SQL to write and read (for reporting)
• SQL Development with SAP Crystal Reporting and SAP Reporting
• SQL and T-SQL for Adhoc Reporting (Stored Procedures, Views, CTEs)
• SAP B1 Item master data management and Application Administration Management
• Documentation (Technical specifications and Training documents)
• Data Visualization using Power BI
• Data Modelling and integration (ETL processing)

SQL Data Analyst - Ignition Group

(2018-10 - 2019-04)

• SQL and T-SQL Querying for transactional Reporting and ETL Processing (Stored Procedures, Views, Merge Scripting, CTEs)
• Data Analysis and Reporting: Distributed, monitored, and analyzed data from external and internal sources, creating high-level reports for business unit managers to interact with stakeholders using Excel and Power BI
• Data Migration and Optimization: Data migration from MS SQL Server to Snowflake and optimized older processes to improve server performance.
• Data Cleansing: Data cleansing and purification of data for external clients and internal use, enhancing data quality.
• Automation and Performance Feedback: Created SSIS automation packages for daily tasks and analyzed campaign performance, providing feedback and solutions to the business.

Junior SQL Developer - Daly Credit Cooperation

(2018-02 - 2018-10)

• Basic ETL Processing using SSIS
• Business and data Analysis for implementation of new internal Systems

BTech - Information Technology - DUT (2017)

NDip - IT Business Applications - DUT (2014 - 2016)

National Senior Certificate - Lincoln Heights Secondary