Rishitha Ragidi

About Rishitha Ragidi

I have more than 5 years of comprehensive experience, specializing in the advanced Big Data, Hadoop, and Java development. I have worked in the Hadoop Ecosystem, including Spark, Hive, and MapReduce. Skilled in automating data engineering pipelines, I develop and build Scala/Python-based data processing applications for production use in Spark. I additionally worked on Snowflake, NoSQL databases, and machine learning pipelines. Proficient in cloud platforms (AWS, Azure), substantial Agile expertise. With expertise in scripting languages, Java, and SQL, I contribute significantly to teamwork and creative problem-solving.

Experience

1. Big Data Engineer

   Mastercard

   May 2024 — Present

   As a Big Data Engineer at Mastercard. I worked on the creation of Spark Vectorized panda user-defined functions for efficient data manipulation. Managing end-to-end data processes, I transfer and refine data from system records to raw, refined, and production zones. My role extends to setting up Azure infrastructure, configuring Spark streaming from Kafka to HDFS, and deploying Big Data applications on Azure. Proficient in Hadoop integration with Talend ETL, I implemented DevOps infrastructure, and optimize Spark applications. Skilled in Cloud services, data visualization, and continuous integration, I contribute to the success of complex projects in a Scaled Agile Framework (SAFe) environment.

Education

• Andhra University

  Bachelor of Technology - BTech

  2016 — 2020

• Chaitanya College of Education

  Intermediate

  2014 — 2016

• University of North Texas

  Master's degree

  2022 — 2023

• Nalanda Vidya Niketan

  School

  2002 — 2014