About

Kavya Vallela is a skilled Data Engineer with a strong background in Data Cleansing and Preprocessing methods, Statistics, and Data Modelling concepts. With hands-on experience in Machine Learning models, SQL (SQL Server), and Big Data Technologies like Hadoop, Hive, HBase, Sqoop, she has developed large volumes of Data Processes for the ingestion of Data. Kavya is also familiar with Reporting/Outcome Tools such as Tableau, Power Bi, and Excel, and has hands-on experience in AWS Cloud Services like Athena. Kavya has an excellent track record in requirements gathering, data cleaning, and preprocessing, and has experience in forecasting data using forecasting models. She has good analytical and programming capabilities, and her area of expertise includes AWS Services like Athena and S3, Language: Python, R Programming, SQL, and Scala(Beginner), Exploratory Data Analysis, Statistical Analysis, and Predictive Analytics. Kavya is currently working as a Data Engineer at Futurense Technologies, where she is responsible for designing and developing large volumes of Data Processes for the ingestion of Data. Prior to this, she worked as a Software Engineer at Adiwebtech Solutions and as a Student at Udacity. Kavya holds a Bachelor of Technology in Computer Science and Engineering from Srinivasa Ramanujan Institute of Technology and a Data Analyst Nanodegree from Udacity. Kavya's tech stack includes Data Engineering, SQL, AWS, Amazon Athena, ML, Big Data, Hadoop, Python, Scala, Apache Hive, and Software Engineering. With 2.69 years of relevant experience, Kavya is a skilled Data Engineer with a passion for developing innovative solutions to complex data problems.