Pavan Kishore Devarakonda
About Pavan Kishore Devarakonda
Pavan Kishore Devarakonda is a Senior Data Engineer with extensive experience in database management and data solutions. He has worked at notable companies including HP, Deloitte Consulting, and Advance Auto Parts, and holds a B.Tech in Information Technology from S R K R Engineering College.
Work at Advance Auto Parts
Pavan Kishore Devarakonda has been serving as a Senior Data Engineer at Advance Auto Parts since 2020. In this role, he focuses on developing data solutions that support the company's operational and analytical needs. His work involves leveraging his expertise in various database management systems and data engineering practices to enhance data accessibility and usability within the organization.
Previous Experience at HP
Prior to his current role, Pavan worked at HP as an IT Engineer/Developer from 2010 to 2013 in the Bengaluru Area, India. During his three years at HP, he contributed to various IT projects, gaining valuable experience in software development and IT solutions.
Experience at Deloitte Consulting
Pavan Kishore Devarakonda spent five years at Deloitte Consulting, where he held the position of Consultant in Analytics & Cognitive from 2015 to 2020. His responsibilities included working on data analytics projects and providing insights to clients in various sectors. He also worked as a Consultant in Information Management from 2013 to 2014, further enhancing his skills in data management and analytics.
Education and Expertise
Pavan holds a Bachelor of Technology (B.Tech) degree in Information Technology from S R K R Engineering College, affiliated with Andhra University. He has developed a strong foundation in data engineering, including expertise in database management systems like Oracle, Teradata, and SQL Server. His skills extend to writing Spark jobs using Python (Pyspark) and designing ETL pipelines using Informatica Power Center.
Technical Skills and Knowledge
Pavan possesses extensive experience in building data solutions utilizing both traditional data warehousing and big data technologies. He is well-versed in the Spark ecosystem, including Spark core, Spark SQL, and Spark Streaming libraries. Additionally, he has a good understanding of cloud computing, particularly with AWS services such as S3, EC2, EMR, and RDS, and is experienced in data visualization tools like Business Objects and SSAS.