Tej Km
About Tej Km
Tej Km is a Senior Cloud Architect with extensive experience in big data and cloud technologies, currently working at Dremio since 2021. He has held various roles in prominent companies such as Qubole, Expedia Group, and PwC, and is proficient in statistical analysis and data management tools.
Current Role at Dremio
Tej Km serves as a Senior Cloud Architect at Dremio, a position he has held since 2021. In this role, he focuses on cloud architecture and data management solutions. His expertise contributes to the development of innovative data strategies that enhance data accessibility and usability for clients.
Previous Experience in Big Data Architecture
Before joining Dremio, Tej Km worked in various roles related to big data architecture. He was a Big Data Architect at Qubole from 2017 to 2019, where he contributed to cloud-based data solutions. He also held positions at Agile Solutions as a Senior Big Data Consultant and at GroupNexus as a Senior Big Data Engineer, gaining extensive experience in the field.
Technical Skills and Proficiencies
Tej Km possesses a range of technical skills in data management and analysis. He is proficient in statistical analysis using tools such as Zeppelin notebooks, R Studio, and Tableau. His hands-on experience includes building scalable data ingestion pipelines using Python, Pyspark, Scala, and ReactJS. He also utilizes open metadata tools to enhance data management and interoperability.
Educational Background
Tej Km studied at Visvesvaraya Technological University, where he earned a Bachelor of Engineering in Computer Science from 2001 to 2005. This educational foundation has equipped him with the necessary skills and knowledge to excel in various technical roles throughout his career.
Experience with Cloud Technologies
Throughout his career, Tej Km has gained significant experience with cloud technologies. He has automated workloads for data ingestion and transformation on platforms such as Amazon, Microsoft Azure, and Google Cloud Platform (GCP). His work includes designing and implementing streaming architecture using tools like Qubole, Hadoop, and Apache Spark.