Open to opportunities

Om Parkash

@omparkash

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Results-driven data engineer and software engineer specializing in scalable cloud and big data solutions.

United States

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What I'm looking for

I seek roles building scalable cloud-native data platforms and production ETL/streaming systems, within collaborative teams that value code quality and impact.

I am a results-driven data engineer and software engineer with hands-on experience designing and deploying scalable back-end systems, big data solutions, and cloud-native applications on AWS. I have built robust batch and streaming ETL pipelines with Spark, Kafka, and PySpark, optimized databases and SQL queries in Redshift and PostgreSQL, and delivered dashboards and curated datasets to support business decisions.

I have developed microservices and backend applications using Java and Spring Boot, implemented data cleaning and feature engineering for AI workflows, and built full-stack applications using React and Node.js. I collaborate closely with cross-functional teams, prioritize code quality and observability, and focus on delivering efficient, production-ready solutions that align with organizational goals.

Experience

Work history, roles, and key accomplishments

Current

Big Data Engineer

Current

Consulting

May 2025 - Present (6 months)

Implemented batch ETL pipelines on AWS EMR using PySpark to produce partitioned Parquet datasets, designed Redshift schemas and queries for dashboards, and built Kafka+Spark Streaming pipelines for real-time monitoring and analytics.

Pyspark S3 Parquet Redshift Apache Kafka AWS Glue QuickSight

Software AI Engineer

Consulting

Aug 2024 - May 2025 (9 months)

Developed and maintained Java Spring Boot backend microservices and REST APIs, preprocessed and transformed data for AI model training, and optimized database integrations to improve scalability and performance.

Java Spring Boot REST APIs SQL Microservices Data Cleaning Docker AWS

Graduate Assistant

The University of Texas Rio Grande Valley

Jan 2024 - Apr 2024 (3 months)

Designed and delivered a full-stack Food Pantry Inventory Management app (React/Node) that automated inventory updates and alerts, improving tracking and restocking workflows for campus services.

React Node Material UI SQL REST Database Design

Graduate Assistant

Shaheed Zulfikar Ali Bhutto Institute of Science and Technol

Jun 2021 - Sep 2022 (1 year 3 months)

Built sensor data collection and processing pipelines and validated image-processing and sensor-fusion algorithms to quantify motor disorder severity using the MDS-UPDRS scale, improving assessment accuracy and efficiency.

Sensor Integration Signal Processing Image Processing Data Pipelines Python MDS UPDRS

Software Engineer

Plural Dynamics

Feb 2022 - May 2022 (3 months)

Implemented front-end features using HTML/CSS/JavaScript that increased student grade-sheet engagement by 20%, improved code quality via peer reviews, and optimized SQL queries to reduce retrieval time by 15%.

HTML CSS JavaScript SQL Code Review Agile Performance Optimization Debugging

Education

Degrees, certifications, and relevant coursework

The University of Texas Rio Grande Valley

Master of Science, Computer Science

2023 - 2024

Activities and societies: Graduate Assistant; developed a Food Pantry Inventory Management web application using React, Node.js, Express.js, and Material-UI.

Completed a Master of Science in Computer Science with coursework and assistantship experience focused on full-stack development and data engineering.

Shaheed Zulfikar Ali Bhutto Institute of Science and Technology

Bachelor of Science, Computer Science

2018 - 2022

Activities and societies: Graduate Assistant; implemented MDS-UPDRS scale, built sensor data collection pipelines, and tested image processing algorithms.

Earned a Bachelor of Science in Computer Science with practical research and assistantship work in sensor data processing and image analysis.