Rahul Patidar

I am Senior Data Engineer with a proven track record in the finance and banking sectors, specialising in building scalable, end-to-end data pipelines that enhance business intelligence and operational efficiency. My expertise spans across Big Data technologies, including Spark, scala, Kafka, and NiFi, which I leverage for efficient data processing and real-time streaming. With a strong foundation in data storage management—using platforms such as Hive, Hadoop, Ignite, Oracle, and IBM Db2—I ensure seamless data organisation and retrieval. My skills in ETL and workflow management using Sqoop and Apache Airflow further streamline data transfers and orchestration. I’m also experienced with containerisation technologies like Docker and Kubernetes, enabling scalable application deployments. Having a deep understanding of the unique challenges and regulatory requirements in finance and banking, I am committed to maintaining the highest levels of data integrity and security. I thrive on leveraging advanced technologies to drive innovation in data management, delivering actionable insights that empower businesses to make strategic, data-driven decisions.