
Sai Manam
@saimanam
I build scalable AWS data pipelines for high-volume trip analytics.
What I'm looking for
At Uber, I build batch and streaming data pipelines for trip and telemetry analytics, processing several terabytes of data daily. I’ve reduced Spark and Hive pipeline processing time by 40% through query optimization, partitioning, and resource tuning.
I also create AWS ETL pipelines and Medallion-based datasets for downstream analytics teams. Earlier, I analyzed performance data for 150+ Uber Eats restaurant partners and automated reporting workflows to save about five hours per week.
Experience
Work history, roles, and key accomplishments
Design and implement batch and streaming pipelines processing terabytes of trip data daily. Optimized Spark and Hive pipelines, reducing processing time by 40% and developed a data quality framework cutting undetected issues by 20%.
Analyzed restaurant partner performance data across 150+ partners using SQL and Hive. Automated reporting workflows, cutting manual effort by 5 hours per week and reducing discrepancy tickets by 20%.
Education
Degrees, certifications, and relevant coursework
PSCMR College of Engineering and Technology
Bachelor of Engineering, Computer Science & Engineering
Completed a Bachelor of Engineering in Computer Science and Engineering in 2023.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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