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Highly skilled and motivated Power BI Developer, SQL Developer, and Support Analyst Professional with a strong background in Retail, Healthcare, Insurance and Information Technology industries. Proficient in leveraging Power BI tools to extract data, analyze data, create interactive data visualizations, and provide actionable insights for improving business performance. Proven ability to translate complex data into clear and concise reports for various stakeholders. Adept at collaborative efforts with cross-functional teams, understanding business requirements and delivering solutions that drive business growth and efficiency. Experienced SQL Developer specializing in database design, optimization, and query development. Currently creating and maintaining efficient database structures and implementing effective data solutions. Committed to staying abreast of the latest trends in SQL technology and data management. Adept at collaborating with cross-functional teams to deliver innovative solutions for complex business challenges.
Hours Available / Wk - 40hrs
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I am the qualified candidate with extensive expertise in Microsoft technologies and a proven track record in designing, implementing, and optimizing complex BI solutions with Power BI. My exceptional analytical and problem-solving skills ensure data-driven decision-making and enhanced operational efficiency. Furthermore, my strong communication and project management abilities enable me to collaborate effectively with diverse teams and consistently deliver high-quality results on time.
- Python
- Jupyter Notebook
- Python - Plotly
- Python - Regular Expressions
- SQL Server
- Microsoft Azure
- Visio
- AWS
- SSIS
- SSRS
- SSAS
- Power BI
- Microsoft Office
- Visual Studio Data Tools
- Etl
- Sql
- Outlook
- Snowflake
- Dax
- Dashboards
- Json
- Microsoft Excel
- Agile Methodologies
- Microsoft Power Point
- Power Query
- Networking
- Some Linux Programing
- Case Study
- Data Analytics
- Data Mining
- Data Science
- Deployment
- Product Overview
- Reporting
- ETL
- Instructions
- Data Warehousing
- Computer Software
- Marketing
- Technology
- Telecommunications
- Sales
Hours Available / Wk - 40hrs
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People should hire me for data science, ETL, machine learning, data warehousing, and SQL positions because I bring a unique blend of technical expertise and personal strengths. My optimism drives me to tackle challenges with enthusiasm, ensuring that I stay motivated and resilient even in complex projects. As a reliable team member, I consistently deliver high-quality work and meet deadlines, making me a dependable asset to any team. My leadership skills allow me to guide projects and mentor colleagues effectively, fostering collaboration and driving results. Additionally, my sense of humor helps create a positive work environment, which I believe is key to maintaining team morale and creativity. These qualities, combined with my strong technical skills, make me a well-rounded candidate who can contribute to both the technical and cultural aspects of an organization.
- Python
- JSON
- Jupyter Notebook
- Python - Pandas
- Python - Regular Expressions
- SQL Server
- Oracle
- Visio
- SSIS
- SSRS
- SSAS
- Power BI
- Spark
- Microsoft Office
- Visual Studio Data Tools
- Etl
- Sql
- Html
- Visual Studio Code
- Outlook
- Oracle Sql
- Dashboards
- Json
- Jira
- Microsoft Excel
- Agile Methodologies
- Scrum
- Microsoft Power Point
- Ms Fabric
- Case Study
- Data Analytics
- Data Science
- Deployment
- ETL
- Instructions
- Data Warehousing
- Finance
- Marketing
- Mortgage Banking
- Retail
- Sales
Hours Available / Wk - 40hrs
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Because of my experience in several industries and my graduation with distinction from business school, as well as my competitive and ambitions personality, I would make a great asset to the company.
- Qlik
- QlikSense
- QlikView
- SQL Server
- Oracle
- Microsoft Azure
- Visio
- SSIS
- SSRS
- SSAS
- Power BI
- Microsoft Office
- Visual Studio Data Tools
- Access
- Outlook
- Microsoft Excel
- Salesforce
- Agile Methodologies
- Microsoft Power Point
- Networking
- Human Resource
- Case Study
- Data Analytics
- Data Mining
- Data Science
- Deployment
- Product Overview
- Reporting
- ETL
- Instructions
- Data Warehousing
- Real Estate
- Retail
- Sales
Hours Available / Wk - 40hrs
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