Karan Naidu

Angestellt, Assistant Manager - Data Engineer, Godrej Industries
Mumbai, India

Skills

Microsoft Azure
ETL
Python
SQL
Database
Machine Learning
Big Data
Data Warehouse
Engineering
Management
Software
Data Analysis
Azure Databricks
Azure Data Factory
Azure
Azure Active Directory
Azure Cosmos DB
PySpark
Python programming
SQL Server
Data Science
Information Engineering
Java
DevOps
Support
Technology
Application
Software Development
AWS
Business Intelligence
Docker
Artificial intelligence
Analytics
Data lake
Data Integration
English Language
Computer Science
Deep learning
Infrastructure
Mathematics
Databricks
Cloud Computing
Code
Snowflake
Accounting
Project Manager
Team leadership
Team Management
Reliability
Team work
Communication skills
Decision Making
strong
Commitment
Presentation skills
Data Preparation
Data processing
Utilities
Microsoft Power BI
Scala
Data Architecture
Programming Language
Data Modeling

Timeline

Professional experience for Karan Naidu

  • Current 1 year and 2 months, since Jan 2025

    Assistant Manager - Data Engineer

    Godrej Industries

    Driving data & AI strategy across 4 Godrej BUs. Architected the unified Azure Medallion platform, saving > €50k annually. This involved optimizing 100+ Azure Data Factory pipelines, implementing cost-effective Azure Databricks models, and consolidating ADF instances (20 to 10), while establishing robust CI/CD processes and solving complex network issues. Launched a company-wide, voice & text enabled GPT-based LLM AI solution on internal data, ensuring enterprise-grade security.

  • 3 years and 1 month, Jan 2022 - Jan 2025

    Data Engineer

    Accenture

    Led development of 100+ ETL pipelines with Azure Data Factory & Databricks for a major US utility client. Increased data processing speed by 40% by transforming semi-structured data (XML, JSON, Parquet). Collaborated with 5+ teams on data infrastructure, ensuring scalability & security. Conducted SAP ISU data analysis for 100+ scenarios. Deployed Azure security & monitoring, optimizing costs by 20% and ensuring high data quality for key data platforms.

  • 7 months, Jul 2021 - Jan 2022

    Associate Data Engineer

    Accenture

    Engineered migration of 500 TB of data (HDFS to Azure Blob) using Azure Data Factory, achieving 99.7% accuracy. Optimized PySpark code for 30% faster data processing and implemented SCDs. Developed Python automation scripts, reducing manual effort by 40% and increasing data accuracy by 25%. Scripted Azure DevOps CI/CD pipelines with Jenkins for SAP data transformation, cutting manual intervention by 20%. Analyzed 50+ documents with data scientists using MS SQL stack (SSMS, SSAS).

  • 1 year and 1 month, Jul 2020 - Jul 2021

    Data Science Intern

    Great Place IT Services

    Developed and implemented machine learning and natural language processing models to support the company’s new products, tools, and initiatives. Enhanced data analysis frameworks using text mining, natural language processing, and deep learning techniques to analyze collected data and generate insightful reports.

Languages

  • Hindi

    Fluent

  • German

    Basic

  • English

    First language

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