Francis Agbodji - Associate Vice President

Francis Agbodji

Associate Vice President - Data Engineering

Washington, District of Columbia, United States

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Summary

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Senior

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Top School

Francis Agbodji is an accomplished data engineering leader with nine years of experience building cloud-native, real-time data and AI platforms for Fortune 500 companies. Currently Associate Vice President of Data Engineering at NBCUniversal, he has scaled and led global teams of 40+ engineers across data, ML, and AI platform disciplines while instilling a product-oriented, high-performance culture. His hands-on background spans Databricks, Spark, Azure/AWS serverless and event-driven pipelines, and enterprise data modeling—work that has driven measurable cost savings and faster time-to-insight. Previously at PepsiCo and Disney he led ML-driven forecasting and clickstream/ETL optimizations, cutting compute costs and supply-chain expenses through pragmatic architecture and CI/CD/observability best practices. He pairs technical depth with people development—mentoring senior leaders and aligning engineering roadmaps to long-term business strategy—and holds an MS in Applied AI alongside multiple immersive data engineering credentials. An early career blend of full-stack and product design work gives him a rare appreciation for UX and downstream consumer-facing data products.

8 years of coding experience

10 years of employment as a software developer

Bachelor of Business Administration (B.B.A.) Business Management Marketing and Related Support Services, Bachelor of Business Administration (B.B.A.) Business Management Marketing and Related Support Services at Howard University

Data Science Inmmersive Data Science, Data Science Inmmersive Data Science at Flatiron School

Master of Science - MS Applied Artificial Intelligence, Master of Science - MS Applied Artificial Intelligence at University of San Diego

Data Engineering Data Science Big Data Python R JDBC Excel SQL NoSQL Oracle DB Hadoop MapReduce Spark D3, Data Engineering Data Science Big Data Python R JDBC Excel SQL NoSQL Oracle DB Hadoop MapReduce Spark D3 at Platform by Per Scholas

Software Engineering Intensive Full Stack Web Development User Xperience Design Full Stack Javascript OOP in JS & Ruby Ruby on Rails SQL Database Theory, Software Engineering Intensive Full Stack Web Development User Xperience Design Full Stack Javascript OOP in JS & Ruby Ruby on Rails SQL Database Theory at New York Code + Design Academy

English, French

Stackoverflow

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Github Skills (16)

python3

credit3

java2

credit-card2

music2

aerospike2

medium2

social-media2

data-integrity2

data-engineering1

machine-learning1

marketing1

data-analytics1

data-processing1

perception1

Programming languages (5)

JavaCSSJupyter NotebookRubyPython

Github contributions (5)

DIGITALFRANK/kafka_spark_streaming_cassandra_mongoDB_flask_real_time_data_pipeline_INSIGHT_Data_Engineering

Sep 2019 - Oct 2023

real time data streaming with Kafka ingestion and Spark Structured Streaming - simulation FitBit Ad platform - AdMe

Contributions:11 PRs, 26 pushes, 5 branches in 4 years 1 month

real-timestructured-streamingadmestreaming-datareal-time-data

DIGITALFRANK/partial-derivatives-lab-data-science-intro-000

Mar 2019 - Mar 2019

Contributions:179 pushes, 1 branch in 1 day

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