About

I am an Associate Data Engineer at Mareana with over 1.6 years of hands-on experience designing and maintaining scalable ETL/ELT pipelines using Apache Spark, PySpark, Databricks, and cloud data platforms. I have worked on processing large-scale structured and semi-structured datasets, building data validation and reconciliation checks, and optimizing Spark SQL queries to improve pipeline reliability and reduce manual effort. My strongest skills include PySpark, Databricks, SQL, and ETL/ELT pipeline development, with a focus on delivering accurate, well-documented reporting solutions. I am looking to further grow my expertise in data engineering and contribute to impactful data-driven projects.

Experience

1. Associate Data Engineer

   Mareana

   Jan 2026 – Present · princeton, new jersey, united states

   Design and maintain scalable ETL pipelines using PySpark and Databricks to process large-scale structured and semi-structured datasets for analytics and reporting. Build data validation and reconciliation checks between the Data Lake and reporting views to ensure accurate, error-free deliverables. Optimize Spark SQL queries and automate workflow execution in Databricks, improving pipeline reliability and reducing manual effort.

2. Data Engineer Apprentice

   Target India Corporation

   Aug 2024 – Feb 2025 · Bengaluru

   Built Kafka–Spark–Hive ingestion pipelines to process large-scale transactional datasets across the full data lifecycle: ingestion, transformation, and consumption. Processed JSON data and loaded transformed data into Hive external tables within the Hadoop ecosystem for downstream analytics. Implemented ETL workflows and CI/CD pipelines, and performed pipeline monitoring, troubleshooting, and SQL-based data validation to maintain data quality.

Education

1. Dayananda Sagar Academy of Technology and Management

   B.E., Computer Science and Engineering

   2020 – 2024 · Grade: 8.72

Projects

• Charity Management System

  • HTML
  • CSS
  • JavaScript
  • SQL

  Built a team website for fund distribution and task management using HTML, CSS, JavaScript, and SQL.

• Image Forgery Detection

  • CNN
  • VGG16
  • JavaScript

  Built a web application that classifies uploaded images as original or forged using CNN, VGG16 architecture, and error-level analysis.

Certifications

• Azure Databricks and Spark SQL (Python)

  Azure

• Introduction to Spark

  Udemy

• Core Java

  Apna College

• Web Development

  Internshala