Ramesh Mulagada

Background

About Ramesh Mulagada

As a passionate Data Engineer with over 2.5 years of experience, I specialize in extracting, transforming, and loading (ETL) data using SQL and PySpark. With a solid foundation in these technologies, I have honed my skills through diverse project experiences and certifications. In my current role, I have successfully navigated three major projects- Provided crucial support for ongoing data operations, ensuring seamless data flow and integrity-Led a migration from HANA to Google Cloud Platform (GCP), where I developed a foundational understanding of GCP services and successfully transitioned critical data processes- Engineered a robust system for tracking medical instruments as they are transported between hospitals, leveraging my expertise to meet stringent accuracy and reliability requirements. My technical toolkit includes- Microsoft Azure Databricks: Proficient in creating and managing complex data workflows- Azure Data Factory (ADF): Designed and implemented efficient data pipelines- Google Cloud Platform (GCP): Developed a foundational understanding through hands-on experience. In addition to my practical experience, I have earned the DP-900 certification, demonstrating my knowledge of Azure data fundamentals. I have also completed the course "Demand Forecasting in Supply Chain," expanding my understanding of predictive analytics and its applications in logistics. I am constantly seeking new challenges and opportunities to grow, aiming to leverage my skills to drive data-driven decision-making and innovation.