Dasari Lova Madhu
About Dasari Lova Madhu
Dasari Lova Madhu is a Data Analytics Practitioner specializing in Data Engineering at Brillio in Bengaluru, Karnataka, India. He has a background in Computer Science and experience in both front-end and back-end technologies, along with expertise in Big Data tools and cloud computing.
Work at Brillio
Dasari Lova Madhu has been employed at Brillio as a Data Analytics Practitioner (Data Engineer) since 2021. In this role, he focuses on data analytics and engineering tasks, utilizing his skills in both front-end and back-end technologies. His work is based in Bengaluru, Karnataka, India, where he has contributed to various projects over the past three years.
Education and Expertise
Dasari Lova Madhu holds a Bachelor of Technology in Computer Science from MGVR College of Engineering, where he studied from 2016 to 2020. He also completed his Intermediate education at Narayana Junior College from 2014 to 2016 and his schooling at Sri Gayatri Vidya Nilayam in 2013-2014. His educational background has equipped him with a strong foundation in computer science and data analytics.
Previous Experience
Before joining Brillio, Dasari Lova Madhu worked at Tecnics Integration Technologies Private Limited as an Associate Software Engineer for eight months in 2021. This role was based in Hyderabad, Telangana, India, and provided him with valuable experience in software engineering and development.
Technical Skills
Dasari Lova Madhu possesses a diverse skill set that includes proficiency in front-end and back-end technologies such as TypeScript, HTML, JavaScript, React, and Django. He has a strong foundation in cloud computing, particularly with AWS cloud services. Additionally, he has developed expertise in the Hadoop ecosystem, utilizing tools like Hive, HBase, Sqoop, SQL, Hue, and Spark with Python (pyspark).
Focus on Big Data Technologies
In his current role as a Data Analytics Practitioner, Dasari Lova Madhu has transitioned to a focus on Big Data technologies. This shift allows him to leverage his skills in data engineering and analytics to handle large datasets and extract valuable insights for his organization.