Data Engineer with extensive experience in Python and Cloud Technologies (preferably AWS Experience in automating ETL processes/pipelines and AWS data infrastructure using Python. Proficient with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis, and SageMaker. Expertise in SQL, Unix/Linux scripting, and developing/testing on Cloud and On-Prem ETL technologies (Ab Initio, AWS Glue, Informatica, Alteryx Experience in data migration from on-premise to cloud is a plus. Extensive experience in DevOps/DataOps environments. Familiarity with SageMaker, Machine Learning Studio, and H2O is an added advantage. Well-versed in the strategies for Cloud/On-Prem ETL testing. Skilled in interpreting and analyzing data from multiple source systems for data integration and reporting. Knowledgeable in data modeling and data warehousing concepts with a focus on Cloud/On-Prem ETL environments. Executes data analytics and data integration testing within time and budget constraints. Nice to have: Experience using Jenkins and GitLab. Familiar with both Waterfall and Agile methodologies. Experience in testing storage tools like S3 and HDFS.