Abhisek Kumar

About Abhisek Kumar

I build intelligent systems at scale across healthcare infrastructure and next-generation AI platforms.I’m a Senior Data Engineer at UnitedHealth Group (Optum), where I architect distributed data systems serving millions of members across the U.S. My work spans Spark-based large-scale processing, Snowflake data architecture, Airflow orchestration, encryption frameworks, and high-reliability pipeline design. I focus on platform maturity, data governance, performance optimization, and scalable architecture standards across teams.I operate beyond implementation, I think in systems, leverage points, and compounding intelligence.Alongside enterprise architecture, I’m the Founder of EthereaVision (ethereavision.com) and Co-Founder of CRRNCY Beauty an AI-native platforms exploring adaptive intelligence, behavioral pattern modeling, and human-centered agentic systems.My long-term thesis:Intelligence should not just automate workflows, it should amplify human potential.Across my career, I’ve:• Designed secure encryption frameworks in healthcare environments• Contributed to early lung cancer lesion detection modeling• Built emotion-aware recommendation systems• Architected vehicle-to-infrastructure software systems• Designed scalable ingestion frameworks across Spark, Snowflake, and cloud-native ecosystemsI specialize in:AI systems architectureDistributed data engineeringAgentic frameworksScalable cloud platformsHuman-centered intelligence modelsI’m building toward platforms that merge AI, behavioral modeling, and scalable infrastructure, systems that learn, adapt, and compound.If you’re thinking about intelligent systems at scale, applied AI infrastructure, or the future of adaptive platforms, let’s talk.

Experience

1. Senior Data Engineer

   UnitedHealth Group

   Apr 2020 — Present · New York, NY, US

   OPTUM (UHG)Hexadus Corporation•Owned enterprise data platform architecture supporting analytics and machine learning workflows across 12 business units, processing 3B+ healthcare records monthly.•Led development of scalable cloud‑native data platforms across Snowflake, Spark, Airflow, and Azure Data Factory, establishing standardized ingestion and transformation frameworks.•Directed delivery of 50+ production‑grade data pipelines enabling enterprise reporting, regulatory analytics, and model‑ready datasets for downstream ML use cases.•Instituted data governance and quality frameworks with automated validation across 35+ critical data elements, reducing data incidents by ~52%.•Defined platform performance and cost strategy, improving execution efficiency by ~22% and reducing cloud spend by $12K/month.•Architected incremental ingestion and CDC patterns, reducing data processing footprint by ~65% and improving pipeline scalability across enterprise workflows.•Implemented platform reliability standards, including monitoring, alerting, and fault‑tolerant processing, reducing failure rates by ~42% and achieving ~99.2% SLA adherence.•Standardized reusable ingestion and transformation frameworks, reducing onboarding time for new datasets and improving engineering consistency across teams.•Partnered with data science and analytics teams to enable feature engineering, dataset preparation, and production integration of machine learning workflows.•Mentored a team of 3 data engineers through code reviews, reusable design patterns, and engineering standards, improving development velocity by ~35%.•Led schema evolution and versioning strategy across 20+ core datasets, enabling backward compatibility and zero‑downtime deployments.•Delivered a HIPAA‑compliant encryption and masking framework, eliminating third‑party dependencies, securing PHI for 2.5K+ users.

Education

• Clemson University

  Master’s Degree, Computer Science

  2016 — 2018

Skills

• Android
• Computer Science
• Android Development
• Human Computer Interaction
• Software Architecture
• Team Management
• Linux System Administration
• Microsoft Office
• Technology Entrepreneurship
• Project Management
• Network Administration
• Machine Learning
• Data Science
• Ruby on Rails
• Javascript
• Ios Development
• Windows
• Eclipse
• C++
• Linux
• Software Development
• Python
• Css
• Astrophysics
• Html
• Quantum Computing
• Artificial Intelligence
• C
• Tensorflow
• Php
• Java
• Gpu
• Astronomy
• Opencv
• R
• Mac Os
• Research