Rajnesh Bhatia
About Rajnesh Bhatia
Rajnesh Bhatia is a Data Engineer with expertise in big data technologies and workflow automation tools. He has worked at Visionet Systems Inc. and Systems Limited, and currently holds a position at Turing.com in Lahore, Pakistan.
Work at Turing
Rajnesh Bhatia has been employed at Turing.com as a Data Engineer since 2022. In this role, he focuses on data engineering tasks that leverage his expertise in big data technologies. His work involves developing and maintaining data pipelines, ensuring data quality, and optimizing data workflows to support various projects.
Previous Experience at Visionet Systems Inc.
Prior to joining Turing.com, Rajnesh Bhatia worked at Visionet Systems Inc. as a Consultant Data Engineer from 2020 to 2022. During his tenure, he contributed to various data engineering projects, utilizing his skills in big data technologies and workflow automation tools. His experience at Visionet Systems helped him develop a strong foundation in data management and analytics.
Experience at Systems Limited
Rajnesh Bhatia also served as a Consultant at Systems Limited from 2019 to 2022. In this position, he gained valuable experience in data engineering and analytics, working on projects that required proficiency in big data technologies and cloud platforms. His role involved collaborating with teams to implement data solutions that met client needs.
Education and Expertise
Rajnesh Bhatia earned his Bachelor's degree in Computer Science from the National University of Sciences and Technology (NUST) from 2015 to 2019. His education provided him with a solid foundation in computer science principles, which he applies in his current and previous roles. He specializes in big data technologies such as Spark, Hadoop, and Hive, and is proficient in workflow automation tools like Airflow and Nifi.
Technical Skills and Proficiencies
Rajnesh Bhatia has developed a range of technical skills throughout his career. He is experienced in utilizing cloud platforms, specifically AWS and GCP, to manage and analyze large datasets. His proficiency in big data technologies and workflow automation tools enables him to streamline data processes and enhance data-driven decision-making.