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

💼 Currently working on large-scale telecom data migration (Teradata → BigQuery) and designing efficient data pipelines for analytics.

📊 Passionate about:

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

• 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

• 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

• 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

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

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

• Python
• SQL

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

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

• 📧 Email: prakalpsp16@gmail.com
• 💼 LinkedIn: https://linkedin.com/in/prakalp-pande

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