I have been in software industry for more than a decade now. I have built data-driven solutions for domains such as retail, architecture, adtech, e-discovery, and logistics. My passion lies in building an Enterprise Data Operating System that streamlines and simplifies the entire data lifecycle, enabling self-service access to high-quality data spread across legacy and cloud data sources in a secured, governed manner.I have a deep understanding of programming languages and technologies such as Java, Python, Golang, NodeJS, Apache Spark, Flink, Benthos, Apache Kafka, and Apache Pulsar. I am proficient in working with various cloud platforms like AWS, Azure, and Google.I have solid experience dealing with a variety of data sources, including structured and unstructured data, and have worked with data at scale in both real-time and batch mode. My expertise extends to databases like Redis, Postgres, Cassandra, MySql, SQLServer, and MongoDb, as well as frameworks like Dropwizard, Spring, Hibernate, and JDBI.In addition, I have experience in DataOps practices and have worked with Docker, Kubernetes, and other infrastructure offerings from AWS, Azure, and GCP.Earlier in my career, I worked on data-driven solutions that helped retail, health, and advertisement giants. I am committed to staying up-to-date with emerging technologies and trends in the data industry and bringing this knowledge to bear on my work.