Period: To be updated
Huntington National Bank
Tech Lead / Data Engineer
Guiding data engineering initiatives, platform modernization, and architecture choices for production systems.
Technology Portfolio
Technology & Data: The Logic Behind the Wonder
A technologist who builds systems with precision and imagines possibilities beyond them.
Hero Visual Placeholder: Technology Systems Graphic / Motion Loop
Professional Identity
Aravind V.K. is a senior technologist working across data engineering, cloud architecture, platform APIs, and automation.
He currently works at Huntington National Bank, contributing to data systems and architecture decisions.
His broader journey includes large platform programs across multiple organizations, with a practical interest in AI-enabled engineering.
Data Engineer
Cloud Architect
API & Platform Engineer
Automation & AI Enthusiast
Experience Snapshot
19+ Years
Software Engineering
11+ Years
Java & Microservices Architecture
10+ Years
Big Data Ecosystems
5+ Years
Cloud Platforms (GCP / AWS)
Leadership
Automation, Architecture & Production Systems
Professional Journey
Period: To be updated
Compunnel Software Group (Consulting)
Data Architect / Data Engineer
Led consulting engagements for AEP, Verizon, and Catalist, focused on scalable architecture and reliable data pipelines.
Period: To be updated
Cardinal Health
GCP / Big Data Tech Lead
Built cloud-native data platforms on GCP with attention to reliability, performance, and governance.
Period: To be updated
Johnson & Johnson
Big Data Developer
Developed distributed data solutions supporting analytics, reporting, and large-scale processing.
Period: To be updated
TCS
Hadoop Developer
Worked across Hadoop ecosystem components and batch-processing pipelines for enterprise data programs.
Period: To be updated
Ideas and Innovations
Software Specialist
Delivered software solutions across application workflows with a focus on quality and maintainability.
Period: To be updated
Vitalect / Gigasphere
Software Developer
Contributed to core modules, data handling, and day-to-day production support.
Period: To be updated
Kran Consulting
Java Developer
Built Java services and backend components that formed an early foundation in enterprise development.
Core Technology Expertise
Cloud & Data Platforms
Building reliable cloud foundations for analytics, data movement, and long-term scale.
Big Data Ecosystems
Creating dependable systems for distributed processing and high-volume data flow.
API & Microservices Engineering
Designing service platforms that stay modular, observable, and stable in production.
Automation & Platform Engineering
Reducing manual friction through repeatable automation and thoughtful platform design.
Data Warehousing & Pipelines
Turning raw data into trusted insight through clear warehouse and pipeline design.
Security & Cloud Governance
Keeping security, access, and governance as part of the architecture from the start.
Technical Architecture & Tools
Cloud Platforms
GCP • AWS EMR • Dataproc • BigQuery • IAM • Cloud Storage
Data Engineering
Hadoop • Hive • Spark • Kafka • Sqoop • Dataflow
Programming
Java • Python • SQL • Unix Shell
Frameworks
Spring Boot • Microservices • REST APIs
Infrastructure & Automation
Terraform • Jenkins • CI/CD pipelines
Databases
MySQL • Oracle • Teradata • SQL Server
Enterprise Systems & Architecture
Work across major organizations focused on scalable data platforms, distributed systems, and durable production architecture.
Huntington National Bank
Cardinal Health
Johnson & Johnson
Verizon
AEP
Catalist
Innovation & Leadership
API & Automation Leadership
Led API and automation initiatives that reduced manual effort and brought consistency to engineering workflows.
Scalable Pipeline Architecture
Designed data pipelines that scaled with demand while improving reliability and delivery speed.
Cloud Governance Automation
Implemented governance automation that improved security posture and made cloud operations more predictable.
Hackathon Recognition
Received hackathon recognition for turning ideas into practical prototypes with clear business value.
Enterprise Data Architecture
Contributed architecture decisions that strengthened long-term maintainability across distributed data ecosystems.
AI & Data Innovation
Supported AI and data innovation by connecting experimentation with production-ready engineering practices.
Where Technology Meets Wonder
Data engineering taught Aravind precision, structure, and respect for detail.
Algorithmic thinking and an analytical mindset shape how he studies patterns, decisions, and human attention.
In performance, those same instincts appear as thoughtful experimentation with technology-driven illusions, where logic and imagination quietly meet.
Technology Philosophy
To me, technology and magic share something in common.
Both reveal patterns hidden beneath complexity.
One is expressed through architecture and code. The other through performance. Both begin with curiosity.