Pramod Prajapati

In my role as an Azure Data Engineer, I actively contributed to our team's success by engaging in daily stand-up calls and efficiently executing tasks assigned by the team manager. I played a vital role in maintaining code quality through active participation in code reviews and contributing to project status meetings, ensuring alignment with project goals. My technical skills shine in utilizing Databricks notebooks for extracting and loading data in cloud platforms. Proficiency in creating, monitoring, and maintaining ETL jobs has allowed me to streamline data processes effectively. Moreover, I demonstrated my expertise by implementing orchestration of data pipelines using Azure Data Factory services, enhancing data workflow efficiency. To maintain a robust data infrastructure, I took charge of monitoring and updating configurations for Databricks notebooks, promptly addressing any issues that arose or jobs that failed. My commitment to data integrity extends to monitoring and analyzing logs for failed Data Factory operations daily, ensuring the reliability and quality of our data processes.

In my role as an Azure Data Engineer, I monitor and maintain Azure Data Factory, Databricks, Azure SQL, and Data Lakes to ensure optimal performance and reliability. I troubleshoot and resolve data pipeline issues while optimizing data jobs and SQL queries for efficiency. Supporting the development and deployment of new data pipelines, I ensure data security and compliance with industry standards. I automate routine tasks to streamline processes, maintain comprehensive system documentation and reporting, and collaborate with cross-functional teams to address and resolve data-related challenges. My commitment to data integrity and operational excellence drives my contributions to the team.

As a trainee data engineer, I assist in developing and maintaining data pipelines to facilitate the extraction, transformation, and loading (ETL) of data from various sources. I help write basic SQL queries to retrieve and analyze data, ensuring its quality and accuracy. Under supervision, I support the setup and configuration of data storage solutions in cloud platforms. I monitor data workflows for issues and contribute to troubleshooting efforts. Additionally, I participate in team meetings to learn best practices and document processes, gaining hands-on experience with data engineering tools and methodologies while supporting senior engineers in their tasks.