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Aditya Nangia
Data Manager @ McKinsey & Company | Tech-Savvy, Database Expert
About
Aditya Nangia is an experienced Data Engineer currently working at McKinsey & Company. With over 11 years of relevant experience in the management consulting industry, Aditya is a skilled Senior Data Analyst with a strong background in MSBI, SQL Server Integration Services (SSIS), Databases, Data Warehousing, Python programming, Spark and Hive. Aditya's professional journey started with Maq Software, where he worked as a Developer. He then moved on to Adobe, where he served as a Business Intelligence Developer. Currently, Aditya holds the position of Data Specialist at McKinsey & Company, where he is responsible for managing and analyzing complex data sets to provide insights and recommendations to clients. Aditya's educational background includes a Bachelor of Technology in Computer Engineering from Manav Rachna University. Throughout his career, Aditya has developed a strong skillset in data engineering, SQL, Spark, Python, Integration, and Apache Hive. As a data professional, Aditya has a demonstrated history of delivering high-quality results and driving business value through data insights. He is a self-motivated and detail-oriented individual who is always eager to learn and stay up-to-date with the latest technologies and trends in the field.
Education Overview
• manav rachna college of engineering faridabad
Companies Overview
• mckinsey
• adobe
• maq software
Experience Overview
12.7 Years
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Experience
Skills
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Agile Methodologies
analytics
Apache Hive
Apache Spark
Business Intelligence
Business Intelligence (BI)
Business Intelligence Tools
Data Analysis
Data Analytics
Data Engineering
Data Extraction
Data Integration
Data Marts
Data Modeling
Data Pipelines
Data Visualization
Data Warehouse Architecture
Data Warehousing
Databases
Databricks
DAX
Decision Making
Design
Dimensional Modeling
English
ETL
ETL Tools
Extract, Transform, Load (ETL)
Hadoop
Healthcare
Hive
Integration
MDX
Microsoft Excel
Microsoft Office
Microsoft Power BI
Microsoft SQL Server
MSBI
MultiDimensional eXpressions (MDX)
MySQL
OLAP
PL/SQL
Power BI
Power view
pyspark
Python
R
SQL
sql server
SQL Server Analysis Services (SSAS)
SQL Server Integration Services (SSIS)
SQL Server Management Studio
SQL Server Reporting Services (SSRS)
SSAS 2008
Ssis
SSIS
strategy
T SQL
Tableau
Transact-SQL (T-SQL)
US Healthcare
USA Healthcare
Contact Details
Email (Verified)
adiXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX80Education
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