Specializing in backend development and PowerBI, my expertise encompasses developing and maintaining data solutions, processing, and visualization. I leverage Azure Data Factory, Azure Synapse, Power BI, and various database technologies to enhance data management, reporting, and security. My responsibilities include programming and refining data lakes and warehouses, optimizing Power BI models for interactive data visualization, and automating data processes to improve accuracy. Experienced in integrating diverse data sources, I excel in creating insightful analytics and visualizations that drive strategic decisions. Proficient in Role-Level Security (RLS) and SHIR configurations, I ensure data integrity and accessibility.
• Successfully leveraged Azure Data Factory and Azure Synapse to streamline data processing and analysis.
• Designed and implemented efficient data lakes and data warehouses to improve data management and reporting.
• Played a key role in optimizing Power BI data models, facilitating more insightful and interactive data visualization.
• Demonstrated expertise in data integration, transformation, and consolidation from diverse data sources.
• Proficiently managed multiple databases, including enterprise ERPs and various APIs.
• Ensured data security and confidentiality in Power BI through implementation of Role-Level Security (RLS).
• Spearheaded automation of critical data processes, reducing manual efforts and improving data accuracy.
• Collaborated closely with frontend developers to define and align business requirements for data-related projects.
• Conducted SHIR configurations to enhance data processing capabilities and data accessibility.
Create an "Energy Management Dashboard" that provides valuable insights into the company's maintenance operations data.
- Energy Production Dashboard: Visual representation of the company's energy production, displaying key metrics such as total energy generated, energy distribution, and trends over time.
- Generation Efficiency Dashboard: Design KPI visualization to track the efficiency of power generation such as capacity utilization rate, energy loss percentages, and comparisons to industry benchmarks.
- Consumption Analysis Dashboard: Analyze energy consumption patterns over time, identifying peak hours or seasons including granular data to drill down by geographical regions, customer segments, and specific timeframes.
- Outage Monitoring Dashboard: Implement a near-real-time monitoring system to track power outages. Create a map-based visualization that shows outage locations and durations.
PL-300: Microsoft Power BI Data Analyst
Issued July 2023