About

Vivek Kumar Sharma is a highly skilled software engineer with 2.5+ years of experience in data engineering. He has worked on projects that involve end-to-end data pipelines, including the extraction, transformation, and loading of data from a wide variety of sources using Big Data Technologies. Vivek is also responsible for writing backend APIs for enterprise-level applications. In his most recent role as a Data Engineer at Saama Technologies, Vivek built a reusable centralized logging system that helps developers quickly get useful insights of all the jobs running on the Kubernetes cluster without using the main Kubernetes Dashboard. He has expertise in programming languages such as Python, SQL, Java, and Scala, and frameworks such as Flask, Django, and Spring Boot. Vivek has experience working with big data tools such as Hadoop, Spark, HBase, Hive, Phoenix, and Airflow. Vivek has also worked with DevOps tools like Docker and Kubernetes, and databases such as MySQL, HBase, Elastic Search, and Postgres. He is proficient in cloud computing platforms like Amazon Web Services and data analytics tools such as ELK (Elastic Search, Logstash, Kibana), EFK, Grafana, and AWS Cloudwatch. Prior to his current role, Vivek worked as a Branch Head at Ojass NIT Jamshedpur, where he led a team of 25 people and managed a budget of INR 45,000. He was responsible for organizing and conducting technical events, including the UTPREKSH (CATIA V5) event and Production and Industrial quiz event. Vivek also worked as a Summer Trainee at Tata Motors, where he worked on the optimization of running time of continuous core drying industrial oven, achieving cost reduction in operation and saving 28 minutes per day oven running time. Vivek holds a Bachelor's degree in Production and Industrial Engineering from NIT Jamshedpur and completed his All India Senior School Certificate Examination (Class XII) from Kendriya Vidyalaya. He has relevant experience of 4.20 years and possesses a diverse tech stack, including Apache Airflow, AWS, Kubernetes, Spark, Big Data, Data Engineering, Python, Flask, Docker, SQL, Hadoop, Search, Elastic Search, Spring, Spring Boot, Scikit, MySQL, Postgres, Web, Pandas, NoSQL, DevOps, Backend, Apache Hive, Django, Scala, ETL, HDFS, Data