Building scalable data pipelines and analytics infrastructure on GCP & Azure
- 🔭 Currently working as an Analytics Engineer at New Engen, building data pipelines with GCP, BigQuery, and Databricks
- 🚀 Improved data processing speeds by 80-90% through pipeline optimization and database redesign
- 🌱 Focused on Data Engineering, Cloud Infrastructure, and ETL/ELT workflows
- 🛠️ Specialized in Python, SQL, PySpark, Airflow, and Terraform
- 👯 Open to collaborate on Data Pipelines, Analytics Platforms, and Cloud Data Solutions
- 📊 Passionate about Data Reliability, Automation, and Analytics Enablement
- 💬 Ask me about SQL, Python, Data Modeling, BigQuery, Azure Data Factory, Databricks
- 📫 Reach me at [email protected]
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🏢 Analytics Engineer at New Engen (Oct 2023 - Present)
- Built scalable data pipelines using GCP, BigQuery, Adverity, and Datorama
- Reduced query times by 80-90% through database architecture redesign
- Implemented CI/CD pipelines with GitHub Actions, cutting deployment time by 50%
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💻 Data Engineer at Apptad Inc. (Sep 2021 - Apr 2022)
- Optimized ETL pipelines using Azure Data Factory and Azure SQL
- Reduced processing time by 50% and data-related errors by 20%
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🎓 Google Developer Student Club Lead (Data Science)
- Led a community of 600+ developers
- Organized data and ML workshops
AniSearch - Microservices Architecture
- Built scalable microservices with Spring Boot, PostgreSQL, and Jikan API
- Improved performance by 40% and enhanced user experience by 80%
⭐️ From Gaurav Singh