Vineeth Kumar
Data & AI Engineer | Python · LLMs · RAG · Cloud | Scalable Systems · DSA · System Design | 5 YOE | Open to DE / GenAI / SDE 🧑💻
- Role
- Data Ai Engineer at Tata Consultancy Services
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Vineeth Kumar
I\'m a Data & AI Engineer with 5 years of experience turning messy, high-volume data into reliable, intelligent systems. At TCS, I architect AWS Glue ETL pipelines that process 20M+ records, cut pipeline execution time by 90%, and save over $25K annually in operational costs — because great engineering should move the business, not just the infrastructure. What gets me genuinely excited is the intersection of data engineering and AI. I\'ve built RAG systems and vector-based semantic search platforms using Azure AI Foundry, and I love the challenge of making unstructured data actually useful — whether that\'s surfacing the right compliance document in seconds or wiring up an LLM to a scalable backend. Python, FastAPI, PySpark, AWS, and Azure are my daily toolkit, but system design and clean architecture are what I care about most. I\'m currently open to Data Engineer, AI Engineer, and Backend Engineer roles where I can work on large-scale data systems, GenAI applications,
Experience
Data Ai Engineer
Mar 2025 — Present · Hyderabad, IN
I lead the architecture of parameterized ETL frameworks on AWS that automated manual operations end-to-end — cutting pipeline execution time by 90%, reducing operational errors by 40%, and saving $25K+ annually in manual effort. I designed scalable AWS Glue, S3, and Lambda pipelines capable of processing 20M+ records, while eliminating redundant historical file scans to maximize data accuracy and integrity. Beyond the pipelines, I collaborate closely with analytics teams to build backend data services that directly improve business intelligence accessibility across the team.
Education
Osmania University, Hyderabad
Vasavi college of engineering , Mechanical Engineering
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