Data Engineer | ETL Developer
Iām Yogesh, a data engineer focused on developing scalable, automated ETL pipelines. I work with tools like Python, PySpark, and Databricks to transform and move batch data across systems. My work includes integrating source files, applying business logic, and preparing clean data for analysis.
I enjoy building modular and reusable workflows, improving code efficiency, and supporting data teams with reliable pipelines that help drive reports and insights.
š Download ResumeDeveloped automated batch pipelines using REST APIs and Delta Lake to extract CRM data and transform it for reporting purposes.
Processed static datasets of healthcare workers using PySpark. Helped staffing teams understand hiring trends and regional demands.
Built ETL workflows for sales, inventory, and customer data. Delivered clean outputs for Tableau dashboards with real-time KPIs.
Created Python-based ETLs to extract and clean web-sourced data like product prices. Automated ingestion into databases for offline use.