As a Data Engineering Consultant with expertise in Advanced SQL and Data Modeling, I bring a wealth of experience in managing and optimizing complex data systems. My skills include proficient use of SQL for advanced queries, database management, and ensuring data integrity and security. I excel in data cleaning and integrating data pipelines, leveraging tools like Apache Hadoop and Apache Spark for efficient data processing. I also design and implement robust data models to support business needs and enhance decision-making. With hands-on experience in Python and various data pipelining tools, I am committed to delivering solutions that streamline data workflows and drive actionable insights.
The Computing for Data Science course equips students with essential skills to develop cutting-edge information systems for managing and analyzing data. The program focuses on teaching how to describe and handle data, uncover new insights and relationships, and make accurate predictions. Students will learn how to build and optimize systems that support decision-making by transforming data into actionable advice. This course prepares students to tackle complex data challenges and contribute to the advancement of data-driven technologies.
As a Data Analyst, I was responsible for collecting, processing, and analyzing data to help the organization make informed decisions. My role involved using various tools and techniques to interpret complex data sets, create detailed reports, and generate actionable insights. I worked closely with different teams to understand their data needs and provided clear visualizations and summaries of the data. My tasks included cleaning and organizing data, identifying trends, and making recommendations based on my findings. I ensured that the data was accurate and up-to-date, contributing to strategic planning and problem-solving within the company.