Hari Krishna
About Hari Krishna
Hari Krishna is a Senior Data Engineer with expertise in designing scalable Big Data solutions and ETL pipelines using various technologies. He has worked at several companies, including Near and Teikametrics, and has extensive experience in product development and data processing.
Work at Teikametrics
Currently, Hari Krishna serves as a Senior Data Engineer at Teikametrics, a position he has held since 2021. In this role, he is responsible for designing and developing scalable data solutions that support the company's operational needs. His expertise in Big Data technologies contributes to the efficiency and effectiveness of data management processes within the organization.
Previous Experience in Data Engineering
Before joining Teikametrics, Hari Krishna worked at Near as a Senior Data Engineer from 2019 to 2021. His tenure at Near involved developing and managing data systems that catered to the company's analytical requirements. Prior to that, he held the position of Data Engineer at TEKsystems from 2015 to 2018, where he focused on data processing and management solutions.
Expertise in Big Data Technologies
Hari Krishna possesses expertise in designing and developing scalable Big Data stores and ETL pipelines. He is proficient in various technologies including Spark, Kafka, Flink, Sqoop, HDFS, S3, Redis, Java, and Scala. His skills enable him to create robust data architectures that facilitate efficient data processing and storage.
Career Background
Hari Krishna's career spans over a decade, beginning as an Associate IT Consultant at ITC Infotech from 2010 to 2011. He then progressed to roles such as Senior Software Engineer at Marlabs Inc. from 2011 to 2015 and Hadoop Developer at Technosoft Corp. for a brief period in 2018. His diverse experience in the tech industry has equipped him with a comprehensive understanding of data engineering and product development.
Focus on Product Development
Throughout his career, Hari Krishna has focused on product development, particularly in converting business functions and processes into actionable data for end users. His approach emphasizes the importance of data-driven decision-making and the role of technology in enhancing business operations.