- 🎓 B.Tech in Computer Science & Business Systems @ R.V.R. & J.C. College of Engineering (2022 – 2026)
- 🔧 Building end-to-end data pipelines, ETL/ELT workflows, and cloud-native Lakehouses — including production-style Medallion Architecture projects on both AWS and Azure
- ☁️ Hands-on with AWS, Azure, Databricks, Apache Airflow, dbt & PySpark
- 🤖 Strong foundation in Machine Learning — classification, regression & clustering with Scikit-learn
- 🛠️ Practical DevOps exposure — Docker, Kubernetes, Jenkins, Terraform, CI/CD
- 🌐 Also comfortable across the stack with React.js, Node.js & PostgreSQL
- 💼 Former Software Development Intern @ Bluestock™ — worked on a full-stack production project
- 📊 Certified in Data Analytics by Deloitte Australia and Tata (GenAI Powered Data Analytics)
- 📍 Based in Guntur, Andhra Pradesh, India
- ⚡ Fun fact: I enjoy turning messy, real-world data into pipelines that just work
Languages
Data Engineering & Analytics
Cloud & DevOps
Machine Learning & Web
- 🛒 Walmart — End-to-End Data Engineering — Medallion Architecture (Bronze–Silver–Gold) pipeline built with Airflow, DBT, Databricks & AWS S3; features incremental ingestion, Star Schema, SCD Type 2 dimensions, and automated data quality validation.
- 🎧 Spotify — Azure Medallion Lakehouse — Production-style pipeline with CDC ingestion from Azure SQL into a Bronze→Silver→Gold lakehouse, orchestrated via Azure Data Factory + Databricks (PySpark, Delta Live Tables), governed by Unity Catalog, deployed with CI/CD.
- ☁️ AWS Cloud Optimization Platform — Serverless FinOps solution using Lambda, EventBridge, CloudWatch & SNS to auto-detect underutilized infrastructure and trigger cost-saving remediation.
- 🧠 SkillSync — AI Career Intelligence Platform — AI resume parser & job-matching engine using FastAPI + NLP (SentenceTransformer embeddings, cosine similarity), deployed on AWS EC2; delivers skill-gap analysis, learning roadmaps & role recommendations.
- 🚗 Uber Customer Segmentation & Retention Analysis — KMeans clustering on 500K+ ride records to uncover 4 behavioral customer segments, translated into actionable retention strategies.
- 💳 Credit Card Weekly Dashboard — Power BI & PostgreSQL — Real-time BI dashboard connecting PostgreSQL to Power BI, tracking revenue, transactions, customer demographics & risk metrics across two auto-refreshing report pages.
- 🦈 Pull Shark — GitHub Achievement
- 🎯 YOLO — GitHub Achievement
- 📊 Deloitte Australia — Data Analytics Job Simulation
- 🤖 Tata — GenAI Powered Data Analytics Job Simulation
- ☁️ Advanced Azure Data Factory & cloud-native data pipeline design
- 🔥 Deepening Apache Spark / PySpark for large-scale data processing
- 🧩 System Design fundamentals for scalable data platforms
- 🤖 Applied Generative AI for data analytics workflows
💡 "Turning raw data into real, actionable insight — one pipeline at a time."