About

Kuldeep Dhadhwal is a skilled Cloud Engineer with a specialization in AWS and Python. With over 3.5 years of relevant experience, he has demonstrated proficiency in data engineering and data science. He has a great interest in Data Structures and Algorithms, which has helped him develop creative problem-solving skills. Kuldeep is a fast learner and an enthusiastic team player, with excellent coding and communication skills. He has hands-on experience in AWS Glue, Lambda, DynamoDB, S3, SQS, SNS, and CloudWatch. He is also proficient in PySpark and SparkSQL, which are essential tools for Big Data. Currently working as a Consultant at Capgemini, Kuldeep has worked on data migration projects and built AWS pipelines using various services such as Lambda, Kinesis, SQS, S3, DynamoDB, AWS Glue, PySpark, Python, and SQL. He has also migrated on-premise data from DB2 to DynamoDB. He performs data validation using AWS Glue and builds lambda functions, performing unit testing to get code coverage. Before joining Capgemini, Kuldeep worked as a Software Engineer at Zapbuild, where he gained experience in software development. He holds a Bachelor's degree in Computer Applications from Mukand Lal National College. His Tech Stack includes AWS, Python, SQL, Data Engineering, Big Data, Data Scientist, MySQL, and Software Engineer. Overall, Kuldeep Dhadhwal is a highly skilled Cloud Engineer with a passion for data engineering and data science. With his expertise in AWS and Python, he is capable of delivering high-quality solutions to complex problems. He is a valuable asset to any team and is always eager to learn and grow.