As a dedicated Data Analyst with over 3 years of experience, I specialize in enhancing data operations through automation and streamlined processes. My expertise lies in developing and managing ETL pipelines using Python, automating workflows with Apache Airflow, and integrating data through RESTful APIs. I have hands-on experience with AWS services such as S3, EC2, Athena, and DynamoDB, which I leverage to optimize data storage and processing.I am skilled in web scraping to gather data from diverse sources, ensuring accuracy and reliability. My work with SQL enables me to perform detailed data analysis, supporting informed decision-making and maintaining high data quality. I am passionate about finding innovative solutions to improve operational efficiency and data integrity.In addition to my technical skills, I am constantly seeking to learn and adapt to new technologies and methodologies. I am interested in areas such as data engineering and advanced analytics, and I actively participate in relevant projects and professional development opportunities to stay current with industry trends.My technical skills include Python, Apache Airflow, AWS (S3, EC2, Athena, DynamoDB), SQL, web scraping, API development, and data analysis. I also have experience with data visualization tools like Excel and Power BI, and I am proficient with Git, Docker, and various data management and analysis libraries.Beyond data analysis, I have extensive experience in GIS technology, specializing in visualizing, cleaning, and analyzing spatial data using Python and QGIS. This skill set allows me to uncover deeper insights and support location-based decision-making with precision.I am enthusiastic about connecting with others in the field to share insights and collaborate on innovative data-driven solutions.