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As a part of Renault Group performed Data ingestion and data transportation through DLL (Data Lake Loader) framework which is developed on Scala Spark. Analysed data for Engineering quality. manufacturing quality and involved in customer data manipulation activities and monitoring activities. Used GCP ( Google Cloud Platform) Based Services such as Big query, Airlow. Data-proc, Storage buckets for staging tables on big query using SQL and created pipelines using DLL. Working closely with Data Analysts and Data Scientists for creating optimized data models for the Renault Quality Department…As a part of Renault Group performed Data ingestion and data transportation through DLL (Data Lake Loader) framework which is developed on Scala Spark. Analysed data for Engineering quality. manufacturing quality and involved in customer data manipulation activities and monitoring activities. Used GCP ( Google Cloud Platform) Based Services such as Big query, Airlow. Data-proc, Storage buckets for staging tables on big query using SQL and created pipelines using DLL. Working closely with Data Analysts and Data Scientists for creating optimized data models for the Renault Quality Department

Dharani Palanivel

Data Scientist, Full Stack Developer, Cloud Developer, +2

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As a part of Renault Group performed Data ingestion and data transportation through DLL (Data Lake Loader) framework which is developed on Scala Spark. Analysed data for Engineering quality. manufacturing quality and involved in customer data manipulation activities and monitoring activities. Used GCP ( Google Cloud Platform) Based Services such as Big query, Airlow. Data-proc, Storage buckets for staging tables on big query using SQL and created pipelines using DLL. Working closely with Data Analysts and Data Scientists for creating optimized data models for the Renault Quality Department…As a part of Renault Group performed Data ingestion and data transportation through DLL (Data Lake Loader) framework which is developed on Scala Spark. Analysed data for Engineering quality. manufacturing quality and involved in customer data manipulation activities and monitoring activities. Used GCP ( Google Cloud Platform) Based Services such as Big query, Airlow. Data-proc, Storage buckets for staging tables on big query using SQL and created pipelines using DLL. Working closely with Data Analysts and Data Scientists for creating optimized data models for the Renault Quality Department

Available to hire

As a part of Renault Group performed Data ingestion and data transportation through DLL (Data Lake Loader) framework which is developed on Scala Spark.
Analysed data for Engineering quality. manufacturing quality and involved in customer data manipulation activities and monitoring activities.
Used GCP ( Google Cloud Platform) Based Services such as Big query, Airlow. Data-proc, Storage buckets for staging tables on big query using SQL and created pipelines using DLL.
Working closely with Data Analysts and Data Scientists for creating optimized data models for the Renault Quality Department

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Engineer at Renault Nissan Technology and Business Centre India (RNTBCI)

June 1, 2023 - June 1, 2025

Primary Data Engineer for LUP (List of Problems), Renault’s manufacturing quality platform; managed and validated central problem databases across projects, car/engine types, and plant locations throughout the serial life cycle. Ingested and transformed data using the DLL (Data Lake Loader) framework built on Scala Spark; implemented robust data validation and monitoring. Built and automated pipelines on Google Cloud Platform (BigQuery, Airflow, Dataproc, Cloud Storage) for staging, transformation, and workflow orchestration. Collaborated with analysts, data scientists, and quality engineers to optimize data models and ensure high-quality insights for the Renault Quality Department. Supported 50+ Renault manufacturing quality applications end-to-end: ingestion, transformation, validation, and reporting, improving enterprise-wide quality initiatives. Used GitHub for version control and collaborative development to ensure traceability and smooth integration across applications.