Siva Pandeti
Senior Data Engineer, Startup Advisor
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolSiva Pandeti is a senior data engineer and startup advisor with nine years of experience building scalable data platforms and enabling data-driven decision making across consumer and enterprise businesses. He has designed and operated petabyte-scale analytics stacks at Netflix and Nextdoor—ingesting clickstream, ODS, and third-party data into lakes and warehouses using Spark, Presto, Hive, Airflow, Kafka and AWS. Prior roles at Fannie Mae, Southwest Airlines and AMD show a track record of architecting ETL, fraud-detection and sensor-data solutions that turned operational telemetry into business value. Comfortable at the intersection of data strategy, architecture and full-stack development, he pairs hands-on engineering with enterprise-minded governance and automation. Now self-employed, he advises startups on translating data opportunities into production-grade platforms and processes, drawing on a mechanical engineering background and a habit of turning complex systems into reliable, measurable outcomes.
9 years of coding experience
16 years of employment as a software developer
Indian Institute of Technology MadrasMaster's degree Mechanical Engineering, Master's degree Mechanical Engineering at University of Maryland
English, Telugu, Hindi, Tamil
Github Skills (5)
monitor5
python4
data-science3
airflow2
data-pipelines2
Programming languages (1)
Github contributions (2)
Nextdoor/airflow
Jul 2016 - Jul 2017
Airflow is a system to programmatically author, schedule and monitor data pipelines.
Contributions:8 commits in 1 year
monitorpythondata-sciencedata-pipelinesprogrammatically
Nextdoor/airflow_examples
Mar 2017 - Mar 2017
Contributions:1 commit in 1 day
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