I'm an Entry-Level Data Engineer with a passion for transforming data into valuable insights and building efficient data pipelines. My background blends hands-on experience with Python for ETL, SQL, Excel, Power BI, DAX, Data Modeling, and Azure cloud tools. I’m focused on learning, growing, and contributing to impactful data projects that help organizations solve real-world problems.
- 🔭 I’m currently working on: Building data pipelines and automating ETL tasks
- 🌱 I’m learning: Advanced Python for Data Engineering, Azure Data Factory, Cloud Data Architecture
- 🛠️ My toolset: SQL, Python, Excel, Power BI, DAX, Data Modeling
- ☁️ Cloud experience: Azure (pipelines, data integration, storage)
- 🤝 Open to collaborating on: ETL processes, analytics, reporting, and data automation
- 📫 How to reach me: [[email protected]] | LinkedIn
- Customer_Churn_Report: Explores patterns behind customer attrition using data cleaning, exploratory analysis, and predictive modeling. Identifies key factors driving churn to help businesses proactively retain customers.
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de-week4-advancedpipeline-salome: Modular Python pipeline for efficient API data ingestion, enrichment, and analysis.
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Zentel_pipeline: Zentel Network Service – Ticket Performance Analysis.
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de-week3-advancedtesting-Salome: (No description yet. Consider updating this project with a README and details!)
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employee-project-management-sql: Relational database design and advanced queries for managing employees, departments, and project assignments.
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employee-performance-automation-SQL: SQL-driven HR automation—tracks performance, manages salaries, logs terminations, and schedules increments.
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sql_data_warehouse_project_sallie-s_version: Building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
Fun fact: I enjoy simplifying complex data processes so anyone can understand them and take action!