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PRAKALP-PANDE/README.md

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πŸ‘‹ Hi, I'm Prakalp Pande

πŸš€ Data Engineer | GCP | Airflow | BigQuery


πŸ’‘ About Me

πŸš€ Data Engineer with 2+ years of experience building scalable ETL pipelines and cloud data solutions on Google Cloud Platform.

πŸ’Ό Currently working on large-scale telecom data migration (Teradata β†’ BigQuery) and designing efficient data pipelines for analytics.

πŸ“Š Passionate about:

  • Data Engineering & Pipeline Optimization
  • Cloud Data Platforms (GCP)
  • Building systems that drive data-driven decisions

πŸš€ Featured Projects

πŸ”Ή Telecom Data Migration Pipeline

  • Migrated multi-terabyte telecom datasets from Teradata to BigQuery
  • Built scalable ETL pipelines using Python & Apache Airflow
  • Implemented data validation checks (row count, schema, reconciliation)
  • Optimized queries reducing runtime by ~30%

Tech Stack: GCP, BigQuery, Airflow, Python, SQL


πŸ”Ή E-Commerce Application

  • Developed a full-stack e-commerce platform using Next.js & MongoDB
  • Implemented JWT authentication, admin dashboard, and product filtering
  • Designed scalable backend APIs for smooth checkout workflows

Tech Stack: Next.js, Node.js, MongoDB, Tailwind CSS


πŸ”Ή AI-Driven Customer Support System

  • Built a system using LLMs & transformer-based models
  • Generated human-like responses for queries and automation
  • Explored NLP and AI integration in real-world applications

Tech Stack: Python, AI/ML, APIs


πŸ› οΈ Tech Stack

πŸ“Š Data Engineering

  • BigQuery, Teradata
  • ETL Pipelines, Data Modeling
  • Data Validation & Migration

☁️ Cloud & Tools

  • Google Cloud Platform (GCP)
  • Apache Airflow (Cloud Composer)
  • Cloud Functions, Cloud Storage

πŸ’» Programming

  • Python
  • SQL

🌐 Web (Secondary)

  • Next.js, React, Node.js
  • MongoDB, Express

πŸ”­ Currently Working On

  • Designing scalable data pipelines using Airflow
  • Improving SQL & query optimization skills
  • Preparing for Data Engineering system design interviews

πŸ“ˆ GitHub Stats


πŸ“« Let's Connect


⭐ Open to Data Engineering opportunities | Actively preparing for high-growth roles

Pinned Loading

  1. Portfolio Portfolio Public

    "Welcome to my portfolio! I am a skilled and passionate Full-Stack Developer, showcasing my best work and experiences. Explore my diverse portfolio, which highlights my creativity, technical expert…

    JavaScript 7

  2. AI-Saas AI-Saas Public

    Building upon the NLP engine and knowledge base, we have developed a state-of-the-art conversational model. This model, trained on a massive dataset of customer dialogues, generates natural languag…

    TypeScript 9

  3. ChatGPT-Clone ChatGPT-Clone Public

    ChatGPT Clone is an AI language model based on the GPT-3.5 architecture developed by OpenAI. It is designed to generate human-like responses to text-based prompts and engage in conversation with us…

    CSS 13 2

  4. nittya nittya Public

    This project leverages a modern web stackβ€”Next.js, Tailwind CSS, MongoDB, and Node.jsβ€”to deliver a sophisticated and performant portfolio website for a nutrition professional. The architecture emph…

    JavaScript 2

  5. real-time-ecommerce-data-platform real-time-ecommerce-data-platform Public

    End-to-end Real-Time Data Engineering Platform built with Apache Kafka, Airflow, PySpark, Delta Lake, and Databricks using Medallion Architecture.

    Jupyter Notebook 1

  6. weather-data-engineering-project weather-data-engineering-project Public

    Developed a Dockerized end-to-end weather data platform processing hourly weather data from multiple cities using PySpark and Delta Lake, implementing medallion architecture and analytical SQL models.

    Jupyter Notebook 1