7+ years of experience as a Data Engineer with expertise in data processing, analytics, and cloud platforms.

Analyze and process large structured datasets using SQL, Python, Pandas, and PySpark.

Build, optimize, and maintain data transformation pipelines for analysis-ready datasets.

Perform data cleansing, validation, and quality checks using regular expressions and other data validation techniques.

Develop and optimize analytical and reporting queries using Google BigQuery.

Integrate external data sources through APIs and web scraping to automate data ingestion.

Design, schedule, and monitor data pipelines using Apache Airflow.

Create interactive dashboards and reports using Tableau or Power BI.

Deliver end-to-end analytical solutions, including requirements gathering, data validation, development, and reporting.





Work with Google Cloud Platform (GCP) to build scalable data architectures and analytics solutions.

Design and optimize ETL pipelines using Big Data technologies and data modeling best practices.

Apply performance optimization techniques for large-scale data processing and analytics.

Collaborate with cross-functional teams to deliver business-focused data solutions.

Possess knowledge of front-end technologies such as HTML, CSS, JavaScript, React, or Angular to support data-driven applications (hands-on experience preferred).

Ensure data accuracy, reliability, and performance across all analytical workflows.

📌 Data Analyst Gurugram
🏢 WNS
📍 Gurugram