Rajashree Sarmah

As a Data Engineer with 1.2 years of hands-on experience, I specialize in designing and implementing scalable data pipelines and ETL processes. My work focuses on developing analytics solutions that leverage big data technologies and cloud platforms, driving data-driven decision-making and delivering actionable insights that enhance business value.

Throughout my career, I have architected and implemented scalable data pipelines using Apache Kafka and Kafka Streams, processing over 1TB of data daily with an impressive 99.9% uptime. I have optimized ETL processes, reducing data processing time by 40% through efficient query optimization and data partitioning strategies. My commitment to improving data quality and analytics has led to significant enhancements in data accuracy and operational efficiencies.

I am passionate about collaborating with cross-functional teams to tackle complex data challenges. My recent projects include developing a real-time data streaming framework and optimizing ETL jobs using Apache Spark and AWS Glue. I continuously seek to expand my skills and knowledge in data engineering, ensuring I remain at the forefront of industry advancements.