About

Ajay Babu P is a dedicated and enthusiastic Cloud Data Engineer with over 10 years of relevant experience. He is currently working as a Data Engineer II at Amazon Web Services (AWS). Ajay's expertise lies in Microsoft Azure services and Big data tools. He is highly skilled in Azure Services such as Data Factory, Data Lake, Databricks, Synapse, Key Vault, Azure DevOps, Databricks, and Delta lake house. Additionally, he has good knowledge of AWS Services such as S3, RDS, Glue, EMR, Redshift, EC2, lambda, and Glue workflow. Ajay's technical skills include Apache Tools like Spark, Hive, HDFS, and knowledge on Spark Streaming, Kafka, Sqoop, and MR. He is proficient in programming languages like Scala and Python. Ajay has worked with databases like SQL Server, HBase, and Cassandra (no SQL). He is also experienced in DevOps tools like Bitbucket, GIT, JIRA, and CI/CD. Ajay has worked on Agile and Scrum methodologies. Ajay's passion for learning and developing efficient solutions has enabled him to solve business problems proficiently. He has worked on various projects in the Telecommunications and Retail sectors. Prior to his current role at Amazon, Ajay worked as a Data Delivery professional at Koch Business Solutions and as a Team Lead at Accenture. Ajay holds a Bachelor of Engineering (BE) degree in Computer Science from Vishveshwaraiah Technological University. His tech stack includes Data Engineering, AWS, SQL, Azure, Spark, Python, Databricks, DevOps, Big Data, HDFS, Kafka, CI/CD, Scala, Cassandra, ETL, Apache Hive, Hadoop, Software Engineer, AWS Glue, Selenium, Apache Airflow, Amazon Athena, MapReduce, Mobile, and Senior Software Engineer. Ajay's skills and experience make him a valuable asset to any organization.