Looking for a job

Rajashree Sarmah

@rajashreesarmah

Message

Results-oriented Data Engineer with expertise in scalable data pipelines.

India

Message

What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data engineering.

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.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Zeitview

Apr 2024 - Present (1 year 3 months)

Architected and implemented scalable data pipelines using Apache Kafka and Kafka Streams, processing over 1TB of data daily with 99.9% uptime. Optimized ETL processes, reducing data processing time by 40% through efficient query optimization and data partitioning strategies.

Apache Kafka Kafka Streams ETL Hadoop AWS Java Power BI

Data Engineering Intern

Bharath Bhoomi Properties

Mar 2023 - Present (2 years 4 months)

Migrated a critical R-based income class predictor to a PySpark ML model, improving scalability and reducing processing time by 50%. Conducted Root Cause Analysis and implemented DMAIC methodology to optimize business processes, resulting in a 20% reduction in operational inefficiencies.

Pyspark Machine Learning R Data Analysis Process Optimization SQL Python

Education

Degrees, certifications, and relevant coursework

Bangalore University

Master of Science, Geoinformatics

2021 - 2023

Grade: 7

Activities and societies: Completed a thesis on 'Spatial Data Pipeline and Machine Learning Model for illegal Land Encroachment in Amchang Wildlife Sanctuary'.

Pursued a Master of Science degree with a major in Geoinformatics and a minor in Computer Science. Gained expertise in spatial data analysis, machine learning, and data pipeline development. Completed a thesis on 'Spatial Data Pipeline and Machine Learning Model for illegal Land Encroachment in Amchang Wildlife Sanctuary'.