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Abhinandan Rathi

@abhinandanrathi

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I build scalable data pipelines for analytics, machine learning, and AI workloads.

India

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What I'm looking for

I'm seeking opportunities to contribute to internal data engineering, data analytics, machine learning, and AI projects, especially work involving scalable pipelines, Databricks, and analytics workloads.

I'm an Associate Software Engineer at Accenture, building skills in data engineering, analytics, machine learning, and AI. Through advanced Databricks training, I've worked with Apache Spark, PySpark, SQL, ETL development, and scalable data processing.

I've built a retrieval-augmented data pipeline using LangChain, vector databases, and Gemini that achieved 85% query relevance on research datasets. My projects also include processing 20k+ product reviews with PyTorch and pandas, and automated preprocessing pipelines for 7k+ smartphone sensor readings.

Experience

Work history, roles, and key accomplishments

Associate Software Engineer

Accenture

Associate Software Engineer at Accenture with a strong foundation in Python, SQL, PySpark, ETL development, and data pipeline design. Trained in the Databricks ecosystem with Advanced (P3) proficiency.

Python SQL PySpark ETL Data Pipelines Databricks Apache Spark Data Engineering Data Analysis Machine Learning AI

Databricks Stream Training

Accenture

Completed structured training in the Databricks ecosystem with proficiency assessed at P3 (Advanced). Developed hands-on knowledge of Apache Spark and PySpark for distributed data processing and large-scale data transformation.

Databricks Apache Spark PySpark ETL SQL Data Pipelines Data Lake data transformation

Education

Degrees, certifications, and relevant coursework

Delhi Technological University

B.Tech, Mathematics and Computing

2022 - 2026

Grade: 7.2/10

Pursuing a B.Tech in Mathematics and Computing with a GPA of 7.2/10.

Accenture

Databricks Stream Training, Data Engineering

Grade: P3 (Advanced)

Completed structured training in the Databricks ecosystem with advanced proficiency (P3), including hands-on experience with Apache Spark, PySpark, and ETL pipeline development.