
Software Engineer with hands-on experience building AWS-based data pipelines and automating retail analytics workflows. Experienced in Python, SQL, and cloud infrastructure (S3, Lambda, Glue) to process and normalize large-scale POS and inventory datasets. Strong foundation in computer science principles and Agile development, with proven ability to translate business requirements into scalable technical solutions.
Designed and maintained data pipelines ingesting POS and inventory data from retailers including Walmart,
Target, and Amazon using AWS (S3, Lambda, Glue).
Normalized SKU-level sales data to standardize UPC mappings, promotional flags, and store-level distribution
metrics (ACV, velocity).
Aggregated and analyzed POS and inventory data across major retail accounts including Kroger and Smart and
Final to track SKU velocity and distribution trends.
Built automated reporting workflows using SQL and Python to streamline weekly sales and performance tracking.
Technical Skills: Python, Java, C, JavaScript, SQL, React, Nodejs, Git/GitHub, REST APIs, AWS, Agile/Scrum, Data Structures & Algorithms, Linux/Unix, Excel
Professional Skills: Problem-Solving, Team Collaboration, Project Management, Technical Documentation, Leadership, Conflict Resolution, Data analysis, Report development, Salesforce, Relationship building, Planning, Public speaking