Vignesh Krishna Raj
About Vignesh Krishna Raj
Vignesh Krishna Raj is a Data Engineer at Altimetrik in Chennai, Tamil Nadu, India, with expertise in Apache Kafka and NoSQL databases. He holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from Pavai College of Technology and has prior experience as a Software Developer at Tech Mahindra.
Work at Altimetrik
Currently, Vignesh Krishna Raj serves as a Data Engineer at Altimetrik, a position he has held since 2019. His role involves utilizing advanced data processing techniques to support various projects. Vignesh's expertise includes the use of Apache Kafka for streaming data processing, which is essential for handling real-time data flows. He is also skilled in Spark Streaming, enabling him to perform real-time data processing tasks efficiently. His contributions to the team focus on optimizing data workflows and ensuring effective data management.
Education and Expertise
Vignesh completed his Bachelor's degree in Electrical, Electronics and Communications Engineering at Pavai College of Technology from 2011 to 2015. This educational background provides him with a solid foundation in engineering principles, which he applies in his current role. He has developed expertise in various data engineering tools and technologies, including NoSQL databases like HBase and data ingestion processes using Apache Sqoop. His proficiency in managing and scheduling workflows with Oozie further enhances his capabilities in data engineering.
Background
Before joining Altimetrik, Vignesh worked as a Software Developer at Tech Mahindra from 2015 to 2019. During this four-year tenure, he gained valuable experience in software development and data management. His work at Tech Mahindra laid the groundwork for his transition into data engineering, where he has since focused on leveraging data technologies to improve operational efficiency. Vignesh's career path reflects a consistent progression in the field of data engineering.
Technical Skills
Vignesh possesses a range of technical skills that are critical for his role as a Data Engineer. He is proficient in using Apache Kafka for streaming data processing, which allows for the handling of large volumes of data in real-time. His experience with NoSQL databases, particularly HBase, enables him to manage unstructured data effectively. Additionally, Vignesh utilizes Spark Streaming for real-time data processing tasks and Apache Sqoop for data ingestion, showcasing his comprehensive skill set in data engineering.