About

Aparna Vittala is a Cloud Data Architect at Google with over 6 years of professional experience in Big Data Analytics and Scala programming. She is a Senior Big Data Consultant, an AWS Cloud practitioner, and a Machine Learning enthusiast in Analytics & Cognitive service. Her areas of expertise include Big Data architecture, Spark via Scala, AWS services, Python, and SQL. Aparna is a quick learner, hardworking, organized, and applies niche skillset to deliver high-quality client work. She has worked on a data lake project to migrate data from on-premise to AWS Cloud including real-time and near-real-time data. She has built a pipeline for data migration for various tenants using Kubernetes, Jenkins, Airflow, and data analytics using AWS Athena, Glue Catalog. She has also automated Data Ingestion and Data Quality Check process using Airflow. Aparna has worked in various projects related to Provider Insights and Cognitive Claims data. She has actively worked on Machine Learning model insights based on claims data using Python. She processes near real-time data to HBASE. She has extensive knowledge in Spark, Scala, HiveQL, AWS S3 loads, Amazon Redshift. She is an SME in an application for narrow network optimization for Health care providers supporting in professional and facility models. Aparna holds a Master of Science in Data Science from Liverpool John Moores University and a Post Graduate Diploma in Data Science from IIIT Bangalore. She completed her Bachelor of Technology (B.Tech.) in Computer Science from Kamala Institute of Technology and Science. Aparna's tech stack includes Senior Software Engineer, AWS, Big Data, SQL, Scala, Spark, Apache Airflow, ML, Amazon Athena, Python, Kubernetes, Jenkins, and Software Engineer. With 7.20 years of relevant experience, Aparna is a highly skilled Cloud Data Architect with a passion for Big Data Analytics and Machine Learning.