SaiNarsimha kusnam
@sainarsimhakusnam
I build scalable cloud data pipelines, real-time streams, and high-performance analytics platforms.
United StatesWhat I'm looking for
At IBM, I build Python, PySpark, and AWS Glue ETL pipelines processing 25 TB monthly, improving ingestion speed by 40%. I also deliver near-real-time streaming with Apache Kafka and AWS Kinesis, reducing data availability delays to under five minutes.
Previously at Accenture, I developed large-scale Spark and SQL pipelines processing over 30 TB of enterprise data, automated 100+ workflows, and built Snowflake and Amazon Redshift warehousing solutions. I focus on reliable, well-monitored cloud data platforms that make analytics faster and more accessible.
Experience
Work history, roles, and key accomplishments
Designed and implemented scalable ETL pipelines using Python, PySpark, and AWS Glue, processing over 25 TB of data monthly and improving data ingestion speed by 40%. Built optimized data models in Snowflake and Amazon Redshift, improving query performance by 35% and reducing reporting latency for enterprise dashboards.
Education
Degrees, certifications, and relevant coursework
Campbellsville University
Master's
2024 - 2025
Pursued a Master's degree at Campbellsville University, Kentucky, USA, from January 2024 to May 2025.
Malla Reddy Engineering College
Bachelor's
2018 - 2022
Completed a Bachelor's degree at Malla Reddy Engineering College, Maisammaguda, India, from August 2018 to May 2022.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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