Rohit Kodamuru

Around 4 years of experience in analyzing, designing, developing, and implementing data architectures and frameworks as a Data Engineer across various cloud platforms (AWS, GCP, Azure). Expertise in Data Warehousing and Decision Support Systems, with extensive experience in implementing full lifecycle Data Warehousing projects. Proficient in Hadoop Architecture and its ecosystem components, including HDFS, MapReduce, Hive, HBase, Oozie, Sqoop, and Zookeeper. Strong experience in big data storage, querying, processing, and analysis, with hands-on skills in Hadoop, Spark (Scala/Python), and Apache Beam. Hands-on experience in building ETL pipelines and visualizations on cloud platforms such as AWS, Azure, GCP, and Databricks, using tools like Azure Data Factory, Dataflow, and BigQuery. Designed and implemented cloud migration strategies on Azure and GCP, leveraging services like Azure SQL Database, Azure Data Lake, Cloud Storage, and BigQuery. Skilled in developing and deploying Docker and Kubernetes-based applications across multiple cloud environments, enabling seamless CI/CD workflows. Proficient in relational databases (Oracle, SQL Server, MySQL) and NoSQL databases (MongoDB, Cassandra, HBase), as well as working with data visualization tools like Power BI and Tableau. Strong programming experience in Python, Scala, and Kafka, with a focus on machine learning models such as Linear and Logistic Regression. Experienced with automation tools (Ansible, Jenkins, Chef) and schedulers like Oozie, Airflow, and Crontab for managing data pipelines and deployments.