Jay J.

Data Engineer

San Francisco, California, United States1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data engineering and backend architecture.
Proven ability to translate business needs into technical solutions.
Strong foundation in algorithms and distributed systems.

Stackforce AI infers this person is a Data Engineering expert with a focus on backend architecture and data-driven product strategy.

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Skills

Core Skills

Data ScienceData EngineeringSoftware Development

Other Skills

Data AnalyticsJavaScriptData QualityData PipelinesData VisualizationData ModelingAnalytical EngineeringAmazon Web Services (AWS)Apache SparkExtract, Transform, Load (ETL)Data StructuresNatural Language Processing (NLP)DjangoNeo4jSnowflake

About

Computer science professional specializing in the intersection of data engineering, backend architecture, and data-driven product strategy. With recent enterprise experience at Meta, I excel at translating complex business requirements into scalable infrastructure. My expertise lies not just in orchestrating high-volume pipelines, but in building systems that empower cross-functional teams, surface actionable insights for leadership, and drive informed product decisions. Holding a Master of Computer Science from North Carolina State University, I combine a rigorous foundation in algorithms and distributed systems with a strong product sense. While highly proficient in modern cloud and data stacks like Python, Spark, and AWS, my primary focus is architecting robust solutions that bridge the gap between heavy technical processing and tangible business value.

Experience

1 yr 6 mos

Total Experience

4 mos

Average Tenure

Current Experience

North carolina state university

2 roles

Research Assistant

Aug 2025 – Sep 2025 · 1 mo · Raleigh, North Carolina, United States · Remote

Worked on OpenPRA repo: https://github.com/openpra-org/openpra-monorepo

Independent Research - AI/ML

Aug 2024 – Dec 2024 · 4 mos · Raleigh, North Carolina, United States

Conducted research and implemented explainable multimodal AI using models for speech and text features, achieving comparable results to state-of-the-art while also being interpretable
Utilized techniques like SHAP for feature importance analysis to assess the influence of specific features on model performance and interpretability, optimizing model transparency for critical decision-making

Data AnalyticsData Science

Vindiata

Data Engineer

Dec 2022 – May 2023 · 5 mos · Mumbai, Maharashtra, India · Remote

Enhanced fraud detection algorithm, reducing turnaround time
Optimized SQL queries, reducing data processing time, improving system efficiency at scale
Migrated structured data from SQL to Neo4j, enabling graph database visualization for complex data relationships like referral trees, improving data insights
Orchestrated the development of a robust database system for an app, enhancing data collection and analytics
Engineered RESTful APIs, ensuring high performance, scalability, and secure data exchange

Data EngineeringJavaScript

Episodic labs

Software Developer

Jul 2022 – Nov 2022 · 4 mos · Ahmedabad, Gujarat, India

Automated the onboarding process using Google Apps Script, reducing manual effort and improving efficiency by 40%
Developed and maintained a full-stack web application using Flask and JavaScript, driving dynamic user interaction and seamless functionality
Designed a prototype NoSQL database using Firebase, including writing complex queries to optimize data retrieval and storage

Data QualitySoftware Development