Data Engineer with over 2 years of experience specializing in data engineering tasks and creating efficient data pipelines. Proficient in programming languages such as Python, R, and SQL for data manipulation and analysis. Skilled in using reporting tools like Power BI and Tableau to visualize and present data in a meaningful and interactive manner. Experienced in utilizing libraries including Pandas, NUMPY, SEABORN, GGPLOT, MATPLOTLIB, and PLOTLY, for data manipulation and visualization. Strong understanding of big data processing frameworks such as Data-bricks, Apache Spark, and Hadoop for large scale data processing and analysis. Proficient in working with databases such as MongoDB, MySQL, Oracle, and Google Big Query for designing and optimizing database structures and implementing ETL processes. Knowledgeable in machine learning libraries such as TensorFlow, KERAS, PyTorch, and SCIKIT-learn for building and deploying machine learning models. Familiarity with cloud technologies, specifically AWS, for leveraging cloud-based resources for data storage, processing, and deployment. Experienced in using Python IDEs like Py-Charm and JUPYTER Notebook for development and collaboration purposes. Proficient in statistical analysis tools including SAS, SPSS, and STATA for conducting advanced statistical analyses. Skilled in version control systems like Git and SVN for collaboration, code management, and tracking changes. Familiarity with ETL tools such as SSIS and Alteryx for streamlining data integration, transformation, and loading processes. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
AWS Academy Graduate- Aws Academy Cloud Foundations
Power BI
Advanced NOSQL for Data Science
Career Essentials in Generative AI by Microsoft and LinkedIn