🚀 Data Engineer • Data Analyst • Data Scientist

I build end-to-end data and AI systems that transform raw data into scalable analytics platforms, machine learning solutions, and intelligent applications.

My work spans across:

• Data Engineering → Batch & real-time pipelines, ETL/ELT workflows, cloud data platforms, streaming systems, and Lakehouse architectures
• Data Analytics → KPI dashboards, business intelligence, SQL analytics, customer insights, and data storytelling
• Data Science & ML → Predictive modeling, recommendation systems, feature engineering, NLP, and Retrieval-Augmented Generation (RAG)

I enjoy designing systems that combine scalable data infrastructure, analytics engineering, and AI-powered applications using modern cloud-native technologies.

• Built enterprise-scale Databricks Lakehouse pipelines using Delta Lake, Unity Catalog, Structured Streaming, and CDC ingestion
• Developed real-time ingestion architectures using Azure Event Hub, Spark Declarative Pipelines, and LakeFlow Connect
• Designed scalable Bronze → Silver → Gold Medallion architectures with dimensional modeling and star schemas
• Built automated ETL pipelines on AWS using Airflow, Glue, S3, Athena, and Redshift

• Developed interactive dashboards in Power BI, Tableau, and Databricks AI/BI Dashboards

• Built analytics systems for:

  • Restaurant operations & customer analytics
  • Airbnb market intelligence
  • Sales & revenue optimization
  • Real-time business KPI monitoring

• Strong focus on SQL analytics, data modeling, and actionable business insights

• Built production-ready ML systems for:

  • Real estate price prediction
  • Recommendation engines
  • AI-powered sentiment analysis
  • RAG-based medical assistants

• Experienced in:

  • Feature engineering
  • Model evaluation & deployment
  • Vector databases & semantic search
  • LLM orchestration with LangChain
  • End-to-end ML pipelines & MLOps workflows

Databricks • Apache Spark • Delta Lake • Structured Streaming • Unity Catalog • Airflow • Kafka/Event Streaming • LakeFlow Connect • AWS Glue • Redshift • S3 • Athena • Azure Event Hub

SQL • Power BI • Tableau • Excel • Databricks SQL • AI/BI Dashboards

Python • Scikit-learn • XGBoost • NLP • LangChain • Pinecone • RAG • LLM Applications • FastAPI • Streamlit

Enterprise Lakehouse platform with real-time streaming, CDC ingestion, Delta Lake, Mosaic AI, and AI-powered analytics dashboards.

Production-style ETL pipeline using Airflow, Glue, S3, Athena, and Redshift for analytics-ready Reddit data processing.

End-to-end ML platform for price prediction, market analysis, and property recommendation systems deployed on AWS.

RAG-based medical assistant using LangChain, Pinecone, FastAPI, and LLaMA3 for context-aware medical Q&A.

Interactive BI dashboards delivering insights into customer behavior, revenue trends, pricing intelligence, and operational analytics.

💼 LinkedIn: www.linkedin.com/in/meet-paghadar 📧 Email: mpaghadar22@gmail.com