boneshendry
About Candidate
I am a Data Engineer and Business Intelligence Specialist with over four years of experience designing data-driven solutions that transform raw data into actionable business insights. My expertise spans the Microsoft data ecosystem, including Microsoft Fabric, Power BI, DAX, Power Query (M), SQL, KQL, Python, Power Automate, and Power Apps.
I specialize in building scalable data models, developing ETL pipelines, automating business processes, and delivering high-performance dashboards that support strategic decision-making. Throughout my career, I have developed enterprise reporting solutions, streamlined manual workflows through automation, and improved operational efficiency across logistics, transport, and financial services organizations.
I am passionate about solving complex data challenges, optimizing data platforms, and enabling organizations to make confident, data-driven decisions. I continuously expand my expertise in modern data engineering, cloud analytics, and artificial intelligence to build reliable, scalable, and future-ready data solutions.
Location
Education
I was awarded a **Bachelor of Business Information Technology** degree with **Second Class Honours**.
I was awarded Certificate of completion.
Work & Experience
-Design and manage end-to-end ETL processes, building reliable and scalable data pipelines that transform raw operational data into clean, analysis-ready datasets.
- Develop and optimize Power BI semantic models using Power Query (M), DAX, and data modeling best practices to deliver accurate, high-performance analytics.
-Create and maintain interactive Power BI dashboards and reports that translate complex business requirements into actionable insights for executives and operational teams.
- Design and implement intuitive report user interfaces in Figma, converting wireframes and mockups into visually appealing, user-friendly Power BI reports that align with organizational branding.
- Automate and streamline recurring reporting and business workflows using Power Automate, reducing manual effort and improving operational efficiency.
- Build and deploy Power Apps solutions, including approval workflows, tracking systems, and business applications that enhance productivity and simplify internal processes.
- Collaborate with stakeholders to gather business requirements, define reporting needs, and deliver data solutions that support strategic decision-making.
- Monitor and improve data quality, troubleshoot reporting issues, and optimize report performance to ensure reliable and timely business intelligence.
- Implement and manage Row-Level Security (RLS) and governance standards to ensure secure, role-based access to organizational data.
- Integrate and consolidate data from multiple sources, including SQL databases, SharePoint, Excel, and cloud services, into centralized reporting solutions that provide a single source of truth.
- Analyze and interpret client and operational data to identify trends, root causes of customer complaints, and opportunities for process improvement, contributing to enhanced client satisfaction and service delivery.
- Develop and maintain interactive Power BI dashboards and performance reports to monitor member records retrieval, archival processes, turnaround times, and key operational KPIs.
- Design and implement workflow tracking solutions that capture, monitor, and manage incoming requests, improving process visibility, accountability, and operational efficiency.
- Build and manage ETL pipelines using Python to automate data extraction, transformation, and loading, ensuring data accuracy, consistency, and timely reporting.
- Collaborate with business and ICT teams to gather reporting requirements, translate business needs into analytical solutions, and deliver actionable insights to support decision-making.
- Perform data cleansing, validation, and quality assurance to maintain the integrity and reliability of enterprise datasets.
- Leverage statistical analysis and machine learning techniques to identify performance trends, forecast outcomes, and uncover opportunities for continuous improvement.
- Present analytical findings and recommendations through clear visualizations and executive reports, enabling stakeholders to make informed, data-driven decisions.