Arth Sukani

Highly accurate and experienced Data Analyst adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments.

As a Data Analyst, I have experience in data cleaning, analysis, and visualization. I am skilled at using SQL and My SQL to query databases and extract relevant information, and I am experienced in using Python for data manipulation and analysis. My expertise in Power BI, Excel, and Tableau allows me to create visually appealing reports that effectively communicate key insights to stakeholders.

Citi Group Responsibilities: ● Use Azure Resource Groups to organize and manage related resources December 2022 to Present ● Configured and managed Apache Spark clusters in Databricks within an Azure environment to handle complex data processing tasks, such as real-time data ingestion, ETL processes, and batch analytics from diverse data sources including live cricket match feeds and sales transactions. ● Design and implement data ingestion and transformation workflows using Azure Data Factory. ● Manage SQL databases and ensure their optimal performance on Azure SQL Database. ● Designed and implemented scalable data pipelines using Databricks on Apache Spark for reducing data processing times. ● Design and implement data solutions using Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. ● Implemented robust data pipelines using Databricks’ structured streaming capabilities to stream live data from online sources and sensors, ensuring continuous data flow and availability for real-time dashboards in Power BI. ● Gathered data from various sources, such as Databases, Csv Files, Google Forms and software like SAP. ● Apply statistical and data analysis techniques to extract meaningful information from data. ● Created clear and meaningful visualizations, such as charts, graphs, and dashboards, to present insights to stakeholders. ● Develop and maintain data models to support reporting and analysis. ● Communicate findings and insights to both technical and non-technical stakeholders. ● Clearly articulate findings, recommendations, and insights to help guide decision-making processes. ● Familiarity with database systems and data warehousing concepts. ● Collaborate with cross-functional teams to understand business model/objectives and questions that can be answered through data analysis.

Software Quality Assurance & Test Eng, Conestoga college, Kitchener, ON, 2023

Big data solution architecture Conestoga college, Kitchener, ON, 2022