Rohan Immadi

Background

About Rohan Immadi

With over 10+ years of experience as a Senior Data Engineer, I specialize in building, optimizing, and scaling data pipelines and solutions that drive data-driven insights and decision-making for businesses across various industries. I have a deep understanding of both batch and real-time data processing, leveraging cutting-edge big data technologies to handle large volumes of structured and unstructured data. Throughout my career, I have developed a strong expertise in data ingestion, transformation, and storage, utilizing technologies such as Hadoop, Apache Spark, Kafka, and NoSQL databases like MongoDB and Cassandra. I am proficient in programming languages including Python, Java, and Scala, and have extensive experience in SQL-based query development and optimization. A key strength of mine lies in designing and implementing robust data architectures, ensuring high performance and scalability for data processing workflows. I have worked with major data warehousing solutions like Snowflake and Redshift, optimizing them for seamless integration with analytics platforms and business intelligence tools like Tableau and Power BI. I have led numerous data migration initiatives and managed the complete ETL lifecycle, enabling businesses to transition to modern data ecosystems and improve operational efficiency. My focus on data governance ensures compliance with industry standards and regulations, while maintaining data integrity, security, and quality at all stages. In addition to my technical skills, I am a strong advocate for automation and optimization, employing tools like Apache NiFi, Apache Airflow, and containerization technologies such as Docker and Kubernetes to streamline data processes and reduce manual intervention. As a collaborative team player, I thrive in Agile environments and use project management tools such as JIRA and Confluence to ensure timely delivery of complex data engineering projects. With a passion for innovation and continuous learning, I am committed to staying at the forefront of data engineering practices to help organizations leverage data for strategic growth and competitive advantage.