About Narendrakumar
👨💼 Data Analyst | Data Engineer
🥇 Microsoft Certified Professional
🧰 Power BI, SQL, API, Excel, Sharepoint, Dataverse, Power Automate, ETL.
Welcome to my profile!
I am currently working as a data specialist consultant in Munich. Since 2016, I have worked as a Data Analyst/Engineer and have successfully completed numerous projects in my professional career. In addition, I hold a master's degree in data engineering from Jacobs University in Bremen.
If you work with me, we both have the same goal: to extract valuable insights from data!
✨ FOCUS:
• Data strategy
• Data analysis
• Data visualization
• Data modeling
• BI Dashboard and Reporting
• Workshops and training
💻 TECH SKILLS
Python & R
ETL
SQL
Power BI, Tableau
Microsoft Azure
🚀 WHAT DO I OFFER
• Reliability
• Unlimited Revisions
• 24/7 Support
Would you like to work with me? Feel free to write me a message and tell me a little about your background and your project idea! If I think I can help you, we would best arrange a short call to discuss further!
Hindi
Native or bilingual
English
Native or bilingual
German
Basic
Remote only
Primarily works remotely
Experience
- KPMG Deutschlanddata engineerBANKING AND INSURANCESeptember 2021 - Today (4 years and 9 months)München, Germany✔ Services in the field of business intelligence and data analytics✔ Areas: Data Strategy, Data Architecture, Data Analytics
- Munich ReData ResearcherBANKING AND INSURANCESeptember 2020 - August 2021 (1 year)München, Germany- Building data pipelines that enable digitization and standardization of the data.- Develop Power BI reports for risk/claim portfolio analysis. Automating the various intermediate steps including transformation of data into different formats as required for feeding different risk models- Ensure data quality and row level security in the data model
- InfosysData EngineerDIGITAL AND ITDecember 2016 - September 2019 (2 years and 8 months)Bengaluru, India- Built batch processing services on Hadoop Datalake for monthly processing of consumer credit card acquisition and profitability analytics as part of consumer lending modernization project. - Improvements in the efficiency of unit testing of ETL pipelines by leveraging hive queries over traditional sql queries. - Automating the ETL process by job scheduling of data ingestion & distribution systems using CA7 job scheduler and Unix/Python scripts.- Development of ETL pipelines on hadoop datalake and create data-marts on the OLAP Databases (DB2 and Oracle databases).- Successful migration of first legacy ETL job from data warehouse to hadoop datalake with end to end data lineage- Perform independently and assist others in analyzing, designing, coding, debugging, and installing large or several smaller ETL solutions.
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Education
- Master of Science - Data EngineeringJacobs University Bremen2021- Data Analytics - Data mining - Machine learning - Big Databases and Cloud Services - Data acquisition and sensor network - Probability and statistics - Linear algebra - Image processing
Certifications
- Microsoft Azure Data FundamentalsMicrosoft2021