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Building real-time data pipelines, intelligent ETL workflows, and scalable AI-powered solutions with 3+ years of hands-on experience

• 🔭 Data Engineer specializing in Big Data, Cloud ETL, and Automation
• 🌱 Expertise in Apache Spark, Kafka, AWS, Airflow, Selenium, GenAI & RAG Systems
• 💡 Passionate about real-time streaming analytics, web automation, and intelligent data pipelines
• 🎯 Built production-grade systems for fraud detection, RAG pipelines, and ETL automation
• 📫 Reach me: vicky0x07@gmail.com
• ⚡ Fun fact: I automate everything - from data pipelines to web scraping!

C Python SQL Java Bash JavaScript

Apache Spark Kafka Flink AWS Kinesis

AWS Apache Airflow DBT Snowflake

Selenium Puppeteer BeautifulSoup Scrapy

LLMs RAG XGBoost scikit-learn

Docker Kubernetes Terraform GitHub Actions

Prometheus Grafana ELK Stack Tableau

Production-ready automation tool for downloading complete O'Reilly courses with automatic organization

• 🎥 Video + Transcript extraction with Selenium automation
• 🚀 Headless mode with Chrome DevTools Protocol
• 📁 Smart chapter-based organization
• ⚡ 10x faster transcript-only mode
• 🔄 Resume capability for interrupted downloads

Tech: Python, Selenium, FFmpeg, Chrome DevTools Protocol

Currently working on exciting data engineering and automation projects. Stay tuned!

class NikeshChavhan:
 def __init__(self):
 self.name = "Nikesh Chavhan"
 self.role = "Data Engineer"
 self.location = "Nagpur, India"
 self.experience = "3+ years"
 
 def get_skills(self):
 return {
 "big_data": ["Apache Spark", "Kafka", "Flink", "AWS Kinesis"],
 "cloud_etl": ["AWS (S3, Lambda, Redshift, EMR, Glue)", "Airflow", "DBT"],
 "automation": ["Selenium", "Puppeteer", "BeautifulSoup", "Scrapy"],
 "genai_rag": ["LLMs (GPT, LLaMA)", "RAG Pipelines", "Prompt Engineering"],
 "ml_analytics": ["XGBoost", "LightGBM", "scikit-learn", "Pandas"],
 "devops": ["Docker", "Kubernetes", "Terraform", "GitHub Actions"],
 "monitoring": ["Prometheus", "Grafana", "ELK Stack"],
 "databases": ["Snowflake", "Redshift", "PostgreSQL", "MongoDB"]
 }
 
 def current_focus(self):
 return [
 "🔥 Real-time data pipelines with Spark Streaming",
 "🤖 Building production-grade RAG systems",
 "🌐 Web automation with Selenium/Puppeteer",
 "☁️ Auto-scaling ETL pipelines on AWS",
 "📊 Streaming analytics with Kafka + Redshift"
 ]

• ✅ Real-Time Data Pipelines: Kafka + Spark Streaming for sub-second processing
• ✅ Web Automation & Scraping: Selenium, Puppeteer for intelligent data extraction
• ✅ GenAI & RAG Systems: LLM-powered pipelines with vector search + generation
• ✅ Cloud ETL: AWS (S3, Lambda, Glue, Redshift, EMR) + Airflow orchestration
• ✅ ML & Analytics: XGBoost, scikit-learn for fraud detection and predictions
• ✅ Auto-Scaling Infrastructure: Cost-optimized pipelines with Terraform + K8s
• ✅ CI/CD Automation: Docker + Kubernetes + GitHub Actions

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Shivaji Science College, Nagpur | BS in Computer Science (2017-2021) | CGPA: 8/10

Certifications:

• 🏆 Data Engineering Associate (ongoing) - AWS
• 🏆 Data Engineering Professional (ongoing) - Google Cloud
• 🏆 Meta Database Engineer Professional - Coursera
• 🏆 Data Scientist Professional - Datacamp