Headline

Data Engineer | Python Software Developer | PySpark, SQL, ETL | AWS, GCP, Databricks, Snowflake | Ex Nike

About

Computer Science graduate (Data Science specialization, 2025) with hands-on experience building data pipelines and validation frameworks for large-scale supply chain systems at Nike ITC. Proficient in Python, PySpark, SQL, and ETL workflow design, with practical exposure to data quality engineering, data governance, and cloud platforms (AWS, GCP, Databricks, Snowflake). Seeking a Data Engineer or Python Software Engineer role to apply strong analytical foundations and production-support experience to building reliable, scalable data systems.

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

gemini

github copilot

Work experience

Software Engineer(Data Platform & Infrastructure) - Apprentice at NIKE SOURCING INDIA PRIVATE LIMITED, Aug 2025 - Aug 2026 · 1 yr 1 mo, Bengaluru South, Karnataka, India, • Develop and maintained 4 production data pipelines using Python, PySpark, and SQL to support large-scale global supply chain systems, orchestrating and scheduling workflows via Apache Airflow for reliable, on-time data delivery. • Contributed to Nike Spark Expectations, a scalable, company-wide data validation framework used to enforce data reliability and governance standards across pipeline outputs. • Designed and executed data quality checks and validation workflows, catching 20% of data inconsistencies before they reached downstream reporting and analytics consumers. • Maintained code quality through Git-based version control, branching strategies, and peer code reviews as part of a collaborative software development workflow. • Partnered with data engineers and data scientists to align data engineering practices with analytics and predictive-modeling needs, streamlining handoffs between teams.

Technical Data Intern at Superbolter®, Jan 2025 - Jul 2025 · 7 mos, Bengaluru, Karnataka, India, • Applied web scraping techniques to extract and compile spatial layout data for 1,000+ residential and commercial projects, streamlining data collection from public and internal sources. • Structured and validated scraped layout data, ensuring accuracy and consistency across large, detail-heavy datasets. • Converted 2D architectural drawing data into structured, specification-aligned datasets, maintaining precision and consistency across projects. • Performed data verification, quality checks, and analysis on project datasets, collaborating with cross-functional teams to resolve inconsistencies and improve documentation quality.

Education

Bachelor of Technology, Computer Science, St. Vincent Pallotti College of Engineering & Technology

Public links

github: https://github.com/petersamuel07