Nrupendra Sai
Data Engineer | Expertise in ETL Pipelines, Distributed Data Processing, and Cloud Data Warehousing | Skilled in Kafka, Spark, Snowflake, Python, Azure | AWS & Databricks Certified.
- Role
- Data Engineer Ii at Spreetail
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Nrupendra Sai
A seasoned Data Engineer with 6 years of experience in turning raw data into insights that drive business decisions. My passion for problem-solving and technology has led me to build and optimize data systems that handle large volumes of data efficiently.At Spreetail, I built an ETL pipeline that processes over 20TB of data daily. By working closely with my team, we cut processing times by 30% and reduced infrastructure costs by 20%. These improvements had a direct impact on the company\'s efficiency and costs.Before Spreetail, I worked at Quadratyx, where I helped increase operational efficiency by 20% for a financial sector client. I used advanced analytics and a well-designed data framework to achieve this.I believe in making data understandable and actionable for everyone in the organization. I take pride in my ability to translate complex technical details into clear, useful insights that help teams make better decisions.Key Achievements:Built an ETL pipeline processing 20TB of data daily, cutting processing times by 30%.Optimized cloud data storage, leading to a 20% reduction in costs.Integrated machine learning models, boosting recommendation accuracy by 20%.Skills:Data Engineering: Kafka, Spark, PySpark, Apache Airflow, Informatica PowerCenter, Hadoop, HDFSCloud Platforms: AWS (Redshift, S3, Glue), Azure (Data Factory, Data Lake), Google CloudProgramming Languages: Python, SQL, Java, RMachine Learning: TensorFlow, PyTorch, Scikit-Learn, Model IntegrationData Warehousing: Snowflake, Redshift, Azure SynapseData Visualization: Tableau, Power BI, LookerDevOps: Jenkins, GitHub, Azure DevOps, Terraform, Docker, KubernetesAPI Integration: REST, GraphQL, SOAPI’m always excited to learn new things and find better ways to solve problems. If you’d like to connect or discuss how data can improve your business, feel free to reach out.Contact:Email: n••••••••@gmail.com
Experience
Data Engineer Ii
Jan 2023 — Present · Seattle, WA, US
Education
Manipal Institute of Technology
Bachelor of Technology - BTech
2013 — 2017
Lamar University
Master's degree
2022 — 2023
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