Shivit D

Q: What is Shivit D email address?

Email Shivit D at sd@qontigo.com. This email is the most updated Shivit D's email found in 2026.

Q: How to contact Shivit D?

To contact Shivit D send an email to sd@qontigo.com. (updated on November 10, 2024)

Data Engineer at STOXX | Mumbai, Maharashtra, India

About Shivit D

Shivit D is a passionate and result-oriented Data Engineer with over three years of experience in the FinTech domain, currently making significant contributions at STOXX. In his role, Shivit collaborates closely with the Data Engineering team to develop robust market data pipelines that are instrumental in shaping globally recognized stock market indices, including the STOXX 50, STOXX 600, and STOXX Europe 100. His expertise in technologies such as PySpark, Python, and Advanced SQL allows him to efficiently handle complex data ingestion and transformation processes, ensuring that high-quality data is readily available for analysis and decision-making.

Shivit's proficiency in Apache Airflow and ETL processes enables him to automate workflows and streamline data pipelines, enhancing operational efficiency. He is also well-versed in cloud technologies, particularly Google Cloud Platform (GCP) and Amazon Web Services (AWS), which he leverages to build scalable data architectures. His experience with tools like Kafka and Hive further complements his skill set, allowing him to manage real-time data streams and perform advanced analytics.

A key project that Shivit has been involved in is the optimization of data workflows for the STOXX indices, which requires meticulous attention to data modeling and architecture. His hands-on experience with CI/CD practices ensures that the deployment of data solutions is seamless and reliable. With a strong foundation in Linux and Scala, Shivit is adept at navigating complex data environments, making him an invaluable asset to the team. His commitment to continuous learning and innovation positions him as a forward-thinking professional in the ever-evolving landscape of data engineering within the financial technology sector.

Shivit D Work