🚀 Passionate about data analytics, database management, and business intelligence, I specialize in transforming raw data into meaningful insights that drive decision-making. With a strong foundation in SQL, database engineering, and cloud technologies, I have developed and optimized data solutions that enhance business efficiency and performance.
✔ Data Analysis & Visualization – Proficient in Python (Pandas, Matplotlib, Seaborn) and Power BI to uncover trends and insights.
✔ Database Administration – Experienced in SQL Server, MySQL, and Oracle for designing, optimizing, and managing databases.
✔ Business Intelligence (BI) – Skilled in ETL processes, data warehousing, and reporting to support business strategies.
✔ Cloud & Big Data – Knowledgeable in Snowflake, AWS (S3, Redshift), and Azure for scalable data solutions.
🔹 Databases: SQL Server, MySQL, Oracle, PostgreSQL, Snowflake
🔹 Programming: SQL, Python, T-SQL, PL/SQL
🔹 BI & Visualization: Power BI, Tableau, Excel
🔹 ETL & Data Pipelines: Apache Airflow, SSIS, dbt
🔹 Cloud & Storage: AWS (S3, Redshift), Azure, Snowflake
🔹 Amazon Product Sales Analysis – Analyzed e-commerce sales trends using Pandas and Jupyter Notebook.
🔹 Weather Data Pipeline (S3 & Snowflake) – Built an ETL pipeline using Airflow, S3, and Snowflake to collect and analyze weather data.
🔹 Customer Churn Prediction – Implemented ML models in Python to predict customer retention trends.
💼 Portfolio & GitHub: github.com/vaxdata22
📩 Email: [email protected]]
🌐 LinkedIn: linkedin.com/in/donatus-enebuse