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Olaoluwa Joshua

@olaoluwajoshua1

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Senior Data Engineer specializing in large-scale Spark pipelines, ELT, and analytics engineering.

United States

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What I'm looking for

I seek roles building scalable batch and streaming data platforms, emphasizing ELT, observability, and cross-functional collaboration to deliver trusted analytics.

I am a Senior Data Engineer with 7+ years building large-scale data platforms at TikTok, Lyft, and Meta, focused on reliable batch and streaming analytics for consumer-facing products.

I design and implement end-to-end ELT pipelines using Spark, dbt, and Airflow, transforming complex event data into analytics-ready tables that power experimentation, reporting, and ML use cases.

My work has optimized performance and cost at scale — reducing query latency by ~40%, improving pipeline runtimes by 35%, and lowering data incidents by 45% through observability and testing.

I collaborate closely with analysts and product teams to standardize metrics, document datasets, and improve discoverability, enabling trusted data for stakeholders across organizations.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

TikTok

Nov 2023 - Present (2 years 2 months)

Architected core analytics and experimentation data layer delivering large-scale batch and streaming pipelines that processed multi-billion events/day, reduced dashboard query latency ~40%, and improved pipeline runtimes by 35%.

Spark Apache Airflow Kafka DBT Amazon Redshift Spark Structured Streaming Data Lake ELT Data Modeling

Senior Data Engineer

Lyft

Sep 2021 - Jun 2023 (1 year 9 months)

Developed batch and streaming data pipelines processing 50+ TB/day for marketplace, pricing, and operational analytics, delivered near real-time streams and improved observability achieving 99% on-time execution.

Spark Kafka Data Lake Airflow ETL Data Modeling Observability SQL

Data Engineer

Data Engineer Intern

Instagram

May 2018 - Aug 2018 (3 months)

Supported ETL pipelines for engagement metrics, built batch transformations summarizing Stories and Feed interactions into daily datasets and improved dataset quality and consistency for product analytics.

SQL ETL Batch Processing Data Validation Data Aggregation Analytics

Education

Degrees, certifications, and relevant coursework

University of Waterloo

Bachelor of Science, Mathematical Physics

2014 - 2018

Completed a Bachelor of Science in Mathematical Physics with coursework in advanced mathematics and physics applicable to data-intensive problem solving and quantitative analysis.