Ravish Sharma

Background

About Ravish Sharma

With a robust background in Data Engineering, I excel in crafting top-notch data solutions that empower data-driven insights across diverse industries. As a Senior Data Architect, I spearheaded the creation of a Statistical Regulatory Reporting Domain for a bank, leveraging cutting-edge Big Data cloud technologies. This initiative significantly reduced data review time from 5 days to just 2 hours. Seasoned data professional with expertise in navigating the evolution of data engineering, from traditional ETL tools to modern distributed frameworks like Spark, and comprehensive solutions such as Databricks and Synapse. Proven track record in designing and implementing efficient data pipelines for actionable insights. My expertise spans data integration, solution design, data ingestion, master data management, and Big Data pipelines. Proficient in PySpark, Python, AWS, Azure, Hadoop, Kafka, Databricks, Medallion Architecture, CI/CD, Azure Data Factory, Azure Synapse. Beyond technical skills, I find fulfillment in leading and mentoring teams, collaborating with stakeholders, translating business requirements, and conducting technical workshops. My ultimate objective is to architect scalable, reliable, and secure data platforms that align with both business needs and strong data governance. Working Rights: AU Citizen *Databricks Certified Data Engineer Professional