Viral has been working with a leading player in US' Finance industry and UK's Logistics for more than 12 years now and has extensive experience in Data Engineering, Data Analysis, Data Science, Visualization, Reporting and ETL Coding. Technical: SQL, Python, Pandas, R, Pyspark, DataBricks, dbt, Azure Data Factory, Big Data, Snowflake, NumPy, SciPy, SciKit-learn (machine learning), Unix OS, AWS, Google Cloud Platform, Azure, Cloudify, NoSQL Visualization: Business Objects, Tableau, Qlikview, QlikSense, PowerBI, Matplotlib, Seaborn Devops: CI/CD Pipelines, Jenkins, Delphix, Liquibase, Agile methodologies (8 years), Waterfall (3 years), GIT version control Domain: Finance industry, Investment Banking industry, Logistics industry, Postal industry, Public Services industry, Regulatory & Financial services, Fintech