Krupa Parmar
Data Engineer · Python · Airflow · dbt · Kafka · AWS
New to Contra
Krupa is ready for their next project!
Project 4 — RAG Document Chatbot
Title: RAG Document Chatbot — LangChain · ChromaDB · Streamlit
Description: Fully local RAG application: PDF ingestion → 500-token semantic chunking → 73-chunk ChromaDB vector store → LangChain retrieval chain with source citations and multi-turn memory. Streamlit UI, no external API dependency.
Link: https://github.com/Krupa03/rag-document-chatbot
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Project 3 — Data Quality Checker
Title: Data Quality Checker — AWS S3 · Terraform · GitHub Actions
Description: A CLI tool automating data quality checks (nulls, duplicates, referential integrity, freshness, and schema drift) on a Kimball star-schema warehouse. AWS S3 provisioned as IaC with Terraform. Full CI/CD via GitHub Actions on every push.
Link: https://github.com/Krupa03/data-quality-checker
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Project 2 — Real-Time Sales Pipeline
Title: Real-Time Streaming Pipeline — Kafka · PySpark · Grafana
Description: Real-time event pipeline processing $368,919 in transaction volume at 110 orders/minute peak. Python producer → Kafka → PySpark Structured Streaming → TimescaleDB → Grafana dashboard with 30s auto-refresh. Full stack on Docker Compose.
Link: https://github.com/Krupa03/realtime-sales-pipeline
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Project 1 — E-Commerce ELT Pipeline
Title: E-Commerce ELT Pipeline — Airflow · dbt · BigQuery
Description: End-to-end ELT pipeline on 99.4K Brazilian e-commerce orders. Airflow orchestrates daily ingestion into BigQuery → dbt transforms across staging to mart layers. Surfaced R$16.4M customer LTV and R$1.25M peak monthly revenue for Looker Studio dashboards. 16 consecutive successful DAG runs under 6 minutes.
Link: https://github.com/Krupa03/ecommerce-elt-pipeline
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