Rakshit Jain

Experience

Data Engineer
MetLife

• Designed and maintained scalable data pipelines using Azure Data Factory (ADF) and Informatica Intelligent Cloud Services (IICS).
• Developed and optimized ETL processes with PySpark, SQL, and Shell scripting to handle large datasets efficiently.
• Led the migration of legacy databases from Oracle to Azure Data Lake, ensuring seamless data transfer and integrity.
• Integrated data from multiple sources, creating efficient and reliable data pipelines.
• Implemented CI/CD practices to streamline deployment and improve pipeline reliability.
• Automated unit testing in Python to ensure data quality and pipeline robustness.
• Utilized Hadoop and Apache Spark as distributed data processing frameworks for large-scale data processing.
• Collaborated with cross-functional teams to deliver high-quality data solutions that support business insights and decision-making.
• Utilized Python for data analysis and automation tasks, enhancing workflow efficiency and accuracy. Reduced the unit test time by 80 percent through automation.

Mechanical R&D Engineer
DeeTee

• Designed custom testing equipment for evaluating prototype performance, minimizing errors during the development process.
• Enhanced product performance by optimizing design parameters and conducting thorough testing procedures.
• Streamlined production processes by implementing efficient workflow strategies, reducing time-to-market for new products.
• Led initiatives to incorporate sustainable materials into product designs, reducing environmental impact while maintaining high-quality standards.
• Conducted heat treatment graph analysis for different metals, providing insights into material properties and optimizing heat treatment processes.