Summary
As a seasoned Data Engineer with over 3 years of experience in the telecommunications industry, I specialize in architecting and implementing robust data solutions that drive business value at scale. My expertise spans the full spectrum of data engineering, from designing scalable data pipelines to optimizing processing workflows and ensuring data accuracy across complex systems.
Experience
Reliance Jio
- I played a pivotal role in developing the Jio Analytics Engine, where I engineered comprehensive data solutions handling 100+ GB of daily data processing.
- My implementation of AWS-based data architecture, including S3 data lakes and EMR-powered distributed processing systems, resulted in significant performance improvements, achieving 30% greater efficiency and a 25% reduction in error rates.
- This work directly impacted millions of users while establishing new standards for data quality and reliability.
Nokia
- Currently at Nokia, I'm leading the development of AT&T's Recharge Platform, a critical system serving over 116 million users.
- By leveraging Spring Boot and Java within the NAC platform, I've created a low-code framework that has reduced development time by 30%.
- My expertise in containerization technologies, particularly Docker and Kubernetes, has improved deployment efficiency by 20%, showcasing my ability to deliver enterprise-scale solutions.
Technical Skills
My technical arsenal includes proficiency in:
- Python
- SQL
- Java
- Linux
- Extensive experience with big data technologies such as Spark, PySpark, and Hadoop.
- Well-versed in streaming technologies like Kafka and cloud computing platforms including AWS and Azure.
My approach combines strong technical capabilities with a deep understanding of data architecture principles, enabling me to design and implement solutions that are not only technically sound but also aligned with business objectives.
Education
- A graduate of CDAC's Post-Graduate program in Big Data Analytics with an A grade and 82.75%.
- Engineering degree from Savitribai Phule Pune University (8.16 CGPA).
Passion
I'm passionate about leveraging cutting-edge technologies to solve complex data challenges and am constantly exploring new ways to improve data processing efficiency and reliability. My experience in building scalable, high-performance data solutions has taught me the importance of balancing technical excellence with practical business needs, always keeping the end-user experience in focus.