Amol Kekre

VP Big Data Analytics @Lendingclub

Fremont, CA, US
EMAILS
a•••••@lendingclub.com
MOBILE NUMBERS
+15•••••••06

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WORK HISTORY

Aug 2022 — Present

VP Big Data Analytics @Lendingclub

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San Francisco, CA, US

Put together modern Big Data Anaytics Self-Service Stack with GenAl/LLM. Migrated 250+ reports, 100+ dashboards, and over 10 business units to modern stack. Reduced Opex from 70% to 10%. Increased productivity by 2x. Lowered cost of ownership by 8x over legacy systems. Enabled conversational analytics that improved business productivity.

EDUCATION

N/A

University of Windsor

M.S, Digital Signal Processing and Computer Architecture

N/A

Indian Institute of Technology, Bombay

B.Tech EE, Microcomputers and Electronics

SKILLS

Software DevelopmentNosqlStorageHbaseBig DataUnixDistributed SystemsMapreduceLarge Scale SystemsApache PigHiveArchitectureCloud ComputingHadoopAlgorithmsScalabilityPerl

ABOUT AMOL KEKRE

VP Eng Big Data Analytics @LendingClub- VP Eng Big Data Analytics @ChangeHealthcare- VP Eng of Big Data & Analytics @OrbComm- CTO and Co-Founder of DataTorrent, Inc. Focus on big data, cloud, real-time, batch, data analytics, and machine learning- Director of Engineering for Yahoo! Hadoop Data Platform. Led development of Yarn (Hadoop 2.0)- Director of Engineering for Yahoo! Apex group (Yahoo! Ads). Led migration of all Ad batch processes to Hadoop- Senior Engineering Manager for http://finance.yahoo.com (Yahoo! Finance)- My teams architected SOA based highly scalable and distributed systems, with extremely large datasets; worldwide services layer; and massively scalable quotes platform. This had over 2500 servers worldwide- Managed relationship with eng and biz execs across 20 countries- Build/grew multiple teams and managers. I have hired over 200 top-notch engineers in Yahoo! alone- Participated in US and Worldwide M&A deals/negotiations- Created and managed worldwide development/community team within Yahoo! and put in place international blue print of Yahoo! Finance.Specialties: Large Scale Architectures and Distributed Systems; Big Data Analytics - Spark, Snowflake, Cassandra, HBase, Spark, Kafka, Druid, Drools, Storm, Pig, Hive, Airflow; & Cloud (AWS, Azure); Analytics (OLAP); Machine Learning, GenAI/LLM; Worldwide Content Platforms; Hiring/Mentoring; Team Building; Technical Management; Ad Platforms, Business Development; Strategic Planning; Capital Expenditure and Resource Planning;

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