About

Rakesh G. is a highly skilled Lead Data Engineer with a strong understanding of AWS services, Apache Hadoop ecosystem, and big data analytics. With over 11 years of relevant experience, Rakesh has developed, designed, and created data models for multiple data warehouse/data lake systems using various ETL tools such as Talend Bigdata, Amazon Redshift, Dynamoddb, EMR, Lambda, Spark (Pyspark or Scala), SQL, SSIS, Abinitio, Informatica, and Datastage. Rakesh has a good understanding of BI reporting using BO, Cognos, and Tableau, and he analyzes and finds data trends using Python descriptive model and predictive model using scikit learn, pandas, numpy, scipy, TensorFlow, etc. He has strong experience in setting up CI/CD pipelines and has managed software design and technical architecture of large complex systems, using project management and planning skills to minimize development time and maximize client acceptance. In his current role as a Data Engineer II at Amazon, Rakesh is responsible for designing and developing end-to-end data pipelines. Prior to joining Amazon, he worked as an Assistant Vice President at Citi, where he was a big data lead and solutions provider. He re-engineered complex legacy ETL systems to modern cloud and big data ecosystem effectively. Rakesh has a Bachelor's degree in Electronic and Communications Engineering from Gandhi Institute for Technological Advancement, Bhubaneswar. He also has experience in Physics, Chemistry, and Maths from D.A.V Public School, Barkakana, and Kendriya Vidyalaya. Rakesh's tech stack includes data engineering, AWS, SQL, ETL, Spark, big data, Python, reinforcement learning, supervised learning, random forest, Hadoop, senior software engineer, data warehouse, CI/CD, scikit, ML, TensorFlow, Pandas, Scala, AWS Glue, Apache Hive, Kafka, research scientist, Azure, GCP, HDFS, Snowflake, Amazon Athena, product designer, MySQL, MongoDB, and Jenkins.