I am a process-oriented software and data engineer with 6+ years of experience across automation, full stack development,
and cloud data engineering. I currently work as an Advisor, Data Engineer at Dell, where I focus on building reliable,
scalable, and business-aligned data solutions.
My background spans end-to-end ownership: requirement analysis, architecture and proof-of-concept development, production delivery,
and ongoing optimization. I enjoy solving complex technical challenges using Python, Java, SQL, cloud services, and modern data tooling.
Outside work, I enjoy photography, music, cooking, football, and cricket.
Sagar P Shah
Austin, Texas, United States
shah.sagar@northeastern.edu
Master of Science in Information Systems • 2019 - 2021
Bachelor of Engineering, Electronics and Telecommunication • 2013 - 2017
Advisor, Data Engineer • May 2025 - Present
Leading scalable data engineering initiatives, building resilient pipelines, and partnering with stakeholders to deliver analytics and automation outcomes.
Software Engineer 2 • Oct 2021 - May 2025
Built and optimized enterprise-grade software and data workflows with strong focus on quality, observability, and operational efficiency.
Data Science Intern • Jul 2020 - Jan 2021
Developed data science workflows and experimentation pipelines for healthcare analytics use cases.
Graduate Teaching Assistant • Jan 2021 - Apr 2021
Mentored students, supported assignments and grading, and coached learners on career and technical development.
Software Engineer • Aug 2017 - May 2019
Delivered process automation solutions using Automation Anywhere and UiPath across finance, HR, and enterprise operations.
Designed a real-time stock analysis pipeline combining time-series forecasting and sentiment signals to generate market insights.
Python, Time-Series, NLP, Data Engineering
Built a multi-cloud data architecture and ETL workflows on research-scale data to improve processing efficiency and analytics readiness.
AWS, GCP, Snowflake, Python, Airflow
Implemented an ML model as a microservice with a Dockerized Flask API to serve sentiment analysis workloads.
Python, Flask, Docker, AWS, Airflow
Built a Spring MVC + Hibernate application for flight booking workflows with improved search and transaction performance.
Java, Spring MVC, Hibernate, SQL, REST API
Performed end-to-end text mining and NLP including sentiment analysis, word embeddings, summarization, and relationship extraction.
Python, NLP, Word2Vec, Text Mining