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Data Engineer with 2+ years in ETL pipeline development and data processing
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Assessing your cultural and operational fit
Python Data Engineer with 2.8 years of experience at Wipro, specializing in building and supporting ETL pipelines, processing structured and unstructured data, and delivering clean, reliable datasets for analytics and ML use cases. Experienced in production environments with a focus on data quality, automation, and scalability.
Wipro Technologies
Data Engineer
March 1, 2023 – September 1, 2025
Gurgaon, Haryana, India
Ford
June 21, 2026 – Present
Built an end-to-end data pipeline to ingest PDF documents, extract relevant fields, and store structured data in SQL databases. Implemented transformation and validation logic using Pandas, ensuring high data accuracy Designed the pipeline with modular Python scripts to support scalability and easy maintenance. Generated analytics-ready datasets for reporting and ML use cases.
SQL (Basic) Certified
Unknown
June 1, 2026 – Present
IBM Watson Challenge
Wipro
June 1, 2026 – Present
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Wipro and project for Ford demonstrate adaptability to different project contexts. The certifications in both Azure and AWS, along with a basic Snowflake mention, suggest a willingness to learn and work with diverse technologies, which is a positive for cultural fit in dynamic environments. The IBM Watson Challenge award indicates a competitive and problem-solving mindset.
Soft Skills & Operational Fit
The candidate's experience description highlights collaboration with cross-functional teams to optimize pipeline performance, scalability, and reliability, indicating good teamwork and operational awareness. The focus on data accuracy and consistency suggests attention to detail and a quality-driven approach.