Verified recordTruck Transportation

Satish S.

Sr Data Analyst at Ups

Based in United States

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Seniority

Staff

Department

Information Technology

Location

United States

Industry

Truck Transportation

Company size

174K

Contact information

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Email

1 credit

s•••••••@ups.com

Phone

5 credits

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Background

About Satish S.

An IT professional with 10+ years of experience working as a Data Analyst in Banking/Finance sector. • Experienced in Agile (Scrum), Waterfall and various Software Development Life Cycle (SDLC) processes and methodologies. • Experienced with Data Warehouse in the development and execution of data conversion, data cleaning and extractions, data governance, data profiling and standardization strategies and plans as several small tables are combined into one single data repository system MDM (Master Data Management). • Have been a key part of Cloud Migration project (On-prem to AZURE) • Experience working on applications involving Azure Databricks, SQL Server, Azure Data Factory (ADF), Azure Data Lake Storage, Azure Synapse Analytics. • Hands on experience in creating data pipelines using Azure Data Factory, Azure synapse analytics. • Experienced working on Tableau to produce different views of data visualizations and presenting dashboards on web and desktop platforms to End-user and help them make effective business. • Solid knowledge of Data Marts, Operational Data Store (ODS), OLAP, Dimensional Data Modeling with Ralph Kimball Methodology (Star Schema Modeling, Snowflake Modeling for FACT and Dimensions Tables) using Analysis Services. • Experience in Data modeling for Data Warehouse development, Data Analysis for Online Transaction Processing (OLTP) and Business Intelligence (BI) applications. • Experience in writing database object and ETL technical specification documents/STMs. • Experience in consolidation of data systems for statistics into snowflake data warehouse using Talend. • Experience collaborating with DBAs and ETL developers to identify and resolve technical, data quality, and change management issues.

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