About

Sandeep Singh is a highly skilled Senior Cloud Data Engineer with over 6 years of experience in AWS Data engineering. He is proficient in Apache Spark, Python, SQL, Apache Airflow, and Amazon Web Services (AWS), including S3, EC2, Redshift, Cloudwatch, IAM, SNS, Lambda, ECS, ELB, Autoscaling, Glue, Athena, VPC, and Glacier. Sandeep also has experience with Docker and container, SQL tuning, and performance optimization of Spark code. Currently, Sandeep works at Koch Business Solutions as a Senior Data Engineer. In his previous role as an AWS Data Engineer at GlobalLogic, he used Python and OOP's concepts to extract data from sources such as MYSQL, Salesforce, and Pendo. He achieved parallel and distributed execution of data to improve the performance of the data pipeline and set up Airflow using Docker and container. At Capgemini, Sandeep was a Data Engineer, where he wrote Spark code to ingest and transform data from various sources to the data warehouse. He optimized and tuned Spark code and handled large volumes of data. He also created Airflow DAGs to run multiple tasks in parallel and used various AWS services to create a data pipeline. Sandeep holds a Bachelor's degree in Electrical Engineering from KIIT University, where he graduated in 2015. He has a strong technical background in Data Engineering, AWS, SQL, Spark, Python, Apache Airflow, AWS Glue, Docker, Amazon Athena, ECS, MySQL, Salesforce, ETL, Web, Data Warehouse, Apache Hive, Big Data, test, Jenkins, DevOps, Software Engineering, and infra. Sandeep has 7.78 years of relevant experience in the field.