Sridhar Srinivasan
@sridharsrinivasan1
I build scalable data pipelines that improve reliability, performance, and operational efficiency.
IndiaWhat I'm looking for
At New Relic, I architect scalable data assets with AWS Glue and dbt, redesigned data models into a unified SCD2 architecture that reduced compute and runtime costs by 30%, and built a multi-agent AI incident-diagnosis system that cut MTTR by 35%.
Previously at Yulu Bikes, I optimized high-volume ETL pipelines, improved field-staff operations by 40% through automated ticket allocation, and turned real-time app events into actionable Product and Marketing insights. At Morgan Stanley, I raised Pytest coverage from 20% to 87% while supporting data migration, governance, and Python automation.
I'm focused on delivering reliable end-to-end data assets using Python, SQL, AWS, dbt, and Airflow.
Experience
Work history, roles, and key accomplishments
Architected and deployed scalable data assets using AWS Glue and dbt, ensuring 100% metadata completeness and accuracy. Redesigned complex 2-tier data models into a unified SCD2 architecture, reducing compute and runtime costs by 30%. Automated incident diagnosis by developing a multi-agent AI system (Autogen), resulting in a 35% reduction in MTTR and 50% reduction in MTTD. Established a robust mo
Education
Degrees, certifications, and relevant coursework
Reva University
Bachelor of Technology, Computer Science
2017 - 2021
Grade: 8.83/10
Pursued a Bachelor of Technology in Computer Science, achieving a GPA of 8.83/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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