π Data Engineer at Infosys π‘ Working with PySpark, Databricks, and Big Data Systems π― Goal: Transition into a Product-Based Company as SDE-1
- Experienced in building and optimizing ETL pipelines
- Strong in problem-solving and Data Structures & Algorithms
- Comfortable learning and adapting to new technologies quickly
- Currently focused on scalable data processing and system design
Languages
- Python, Java, C++, SQL
Big Data & Tools
- PySpark, Databricks
- Hadoop Ecosystem
Backend & Tools
- Spring Boot
- Git, Linux
- Designed and implemented ETL pipeline from raw to foundation layer
- Performed data transformation, joins, and aggregations
- Followed data modeling based on business requirements
- Processed large-scale user engagement datasets
- Applied transformations and analytics on streaming-like data
- Optimized queries for better performance
- Solved problems across arrays, trees, graphs, and dynamic programming
- Focused on writing optimized and clean code
- LinkedIn: https://linkedin.com/in/your-link
- Email: mokalyogesh113@gmail.com
β Always learning, building, and improving.