Veerabadrayya Mathapati

Highly skilled Data Analyst and Backend Developer with over 3 years of professional experience in the IT industry. Proven expertise in data manipulation, cloud computing, and process automation using technologies like Python, SQL, PySpark and Azure cloud services. Adept at managing and analyzing large datasets, building ETL pipelines, and implementing data solutions in Azure environments. Demonstrated ability to single-handedly manage and deliver end-to-end projects, directly collaborating with clients to understand and implement requirements. Strong problem-solving abilities with a passion for optimizing data-driven processes and systems.

• Python (Basic), Lex Infosys, 05/01/22
• Azure Fundamentals (AZ-900), Microsoft, 04/01/22
• Infosys Certified Machine learning professional, 26/09/2022
• Essential of cloud computing, Lex Infosys, 26/06/2022
• Infosys certified Digital Accessibility Associate, Lex Infosys, 28/03/2023

• Water Monitoring Project (BASF), Python Backend Developer, Data Analyst, Acted as the sole resource for the project, handling end-to-end responsibilities from requirement gathering to deployment, while collaborating directly with the client to understand and implement their needs., Developed automation scripts and integrated Azure cloud infrastructure to streamline the collection, transformation, and visualization of water-related data., Built robust ETL processes using Azure Data Factory to move data between systems and ensure timely updates for stakeholders., Designed and deployed cost-effective solutions for managing large data sets, reducing the operational costs of data storage by 30%., Ensured data security and compliance with industry standards during cloud migrations and application deployments.
• Data Migration and ETL Automation (Internal), Backend Developer, Automated ETL pipelines to migrate and transform data from legacy systems into Azure cloud storage, improving data availability and processing speed by 40%., Developed Python scripts to clean and preprocess raw data, making it ready for reporting and analysis.

Python, PySpark, SQL, Azure DevOps, Azure Data Factory, Azure Databricks,

PostgreSQL, Azure Automation, Azure Cloud Services, Microsoft Excel