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Archana Krishnamurthy

Senior Data Engineer

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About

Archana Krishnamurthy is a Senior Data Engineer at Shell with over 7 years of experience in Data Engineering. She has a demonstrated history of building Data pipelines and Data Warehousing solutions. Archana is skilled in designing high performance Extract Transform Load (ETL) pipelines using Azure data platform(ADF, ADLS & Databricks), SSIS, Informatica. She has expertise in SQL server and Agile methodology. Archana has experience in visualization/reporting using SSRS, Power BI and Looker. She also has good knowledge of Python development. Her deep knowledge of Data warehousing concepts and Business intelligence solutions makes her a valuable asset to any organization. Archana is a Microsoft certified Azure Data Engineer. She has worked with Shell and Wells Fargo in the past, where she held the positions of Senior Data Engineer and Analyst respectively. Archana completed her Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from nieit institute of technology in 2014. Her tech stack includes Data Engineering, SQL, ETL, Azure, Databricks, and Python. Archana has relevant experience of 8.20 years in the field of Data Engineering. With her expertise in building high performance data pipelines and data warehousing solutions, Archana is a valuable addition to any organization looking to leverage data for business growth.

Education

nieit institute of technology

Companies

shell

wells fargo

lt

Experience

9.3 Years

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Experience

Senior Data Engineer

shell | London, England, United Kingdom

2022 - 2024

Senior Data Engineer

shell | Bengaluru, Karnataka, India

2019 - 2021

Analyst

wells fargo | Bengaluru, Karnataka, India

2018 - 2019

Senior Software Engineer

lt | Bengaluru, Karnataka, India

2014 - 2018

Skills

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architecture

Azure

Azure Data Factory

Azure Databricks

business intelligence

Business Intelligence (BI)

C++

Collaboration

Communication

Data Engineering

Data Governance

Data Modeling

Data Models

Data Operations

Data Pipelines

Data Warehouse

Data Warehousing

Database Design

Decision Making

Design

Eclipse

etl tools

Extract, Transform, Load (ETL)

finance

HTML

Identifying Issues

Informatica

Integration

Knowledge Sharing

Logical Data Modeling

Microsoft Azure

Microsoft SQL Server

MSBI

MySQL

optimization

Optimization

Oracle Database

performance tuning

Power BI

Process Improvement

PySpark

Python

Python (Programming Language)

QlikView

SAP

Software Engineer

SQL

sql server

SQL Server Integration Services (SSIS)

SQL Server Reporting Services (SSRS)

SSIS

SSRS

Stored Procedures

test

test cases

testing

Transact-SQL (T-SQL)

Troubleshooting

Unit Testing

Contact Details

Email (Verified)

arcXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX36

Education

nieit institute of technology

Bachelor of Engineering (B.E.)

2010 - 2014

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