Sameer Srinivas is a Senior Software Engineer based in San Francisco with 10 years of experience building resilient distributed systems and large-scale data infrastructure. He has deep hands-on experience designing data pipelines and ETL/ELT flows using Airflow, Spark, Kafka, Hive/Presto, and cloud storage, and strong engineering skills in Python and Java. At Lyft and prior roles he has driven production-grade solutions for real-time ingestion, cross-cluster replication and cost optimization (including automations that materially reduced Snowflake spend). His background blends data modeling, workflow orchestration, and storage-engine integration, enabling teams to extract richer business insights from complex event streams. He often pairs pragmatic automation (CI/CD for SQL deployments, DAG cleanup) with system-level thinking to improve reliability and observability. Comfortable moving between architecture and implementation, Sameer excels at turning distributed-systems patterns into maintainable, high-throughput pipelines.
10 years of coding experience
11 years of employment as a software developer
Master’s Degree Computer Software Engineering, Master’s Degree Computer Software Engineering at Arizona State University
Contributions:9 pushes, 1 branch in 3 years 11 months
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Sameer Srinivas - Senior Software Engineer at Lyft