About

Rakesh Dey is an experienced Data Engineer with over 7 years of experience in the field. He is an Apache Spark Databricks Certified and AWS Certified Solution Architect with a keen interest in Big Data technology. Rakesh has proven exposure to different Hadoop components like Hive, Mapreduce, and Sqoop. He also has in-depth knowledge of the Spark framework and has hands-on experience using Pyspark core API and SparkSql. Rakesh has solid hands-on experience with different AWS services like EMR, Lambda, Athena, Glue, S3, SNS, DynamoDB, and Step Function. He also has basic knowledge in Azure and is currently scaling up in that area. Rakesh is seasoned with different file formats and compression techniques in Hadoop. He has managed clients and is able to take requirements from them, and is also seasoned with Agile methodology. Apart from his technical expertise, Rakesh has excellent written and oral communication skills and the ability to express his thoughts logically and succinctly. He has hands-on knowledge in Tableau Data visualization tool and has a good understanding of cloud platforms. Rakesh is also exploring other cloud-based technologies in-depth. Rakesh has a strong educational background, having completed his Bachelor of Technology (B.Tech.) from McKv Institute of Engineering in 2015. He has worked for US-based IT firms like EY and Cognizant and has also worked for TCS during his ILP training period. Overall, Rakesh Dey is a seasoned Data Engineer with a strong technical background and excellent communication skills. He is open to new opportunities and can be contacted at rakeshdey.0018@gmail.com.