Anthony Jasper
@anthonyjasper
Senior Data Engineer specializing in scalable data platforms, pipelines, and observability.
What I'm looking for
I am a Senior Data Engineer with 8+ years building scalable, reliable, high-performance data platforms across social media, creator economy, and e-commerce domains. I design both real-time and batch pipelines to enable analytics, experimentation, and ML workflows.
At Discord I built monetization pipelines ingesting subscription and billing data into Snowflake, tuned Snowflake for 45% lower dashboard latency, and delivered experiment insights using Databricks, Delta Lake, and dbt. I emphasize statistical rigor and partner closely with data scientists and product teams to translate results into product decisions.
Previously at Meta I engineered large-scale ETL processing billions of daily events, reduced redundancy by over 20 TB, and improved dataset reliability via automated data-quality and anomaly-detection workflows. I optimized multi-terabyte Spark workloads to reduce compute costs and shorten runtimes significantly.
I am skilled across cloud ecosystems (AWS, GCP, Azure), modern lakehouse and warehousing technologies, orchestration tools, and observability practices. I focus on cost efficiency, data quality, and building modular, production-ready data models that empower analytics and ML teams.
Experience
Work history, roles, and key accomplishments
Built and maintained monetization and experimentation data pipelines ingesting subscription and billing data into Snowflake and Databricks, reducing dashboard latency by 45% and enabling cross-platform A/B test insights.
Data Engineer
Meta
Apr 2021 - Dec 2022 (1 year 8 months)
Engineered large-scale ETL pipelines processing billions of daily events, reduced data redundancy by 20+ TB and cut data incidents by 30% through automated quality and anomaly-detection workflows.
Data Engineer
Minted
May 2017 - Apr 2021 (3 years 11 months)
Developed ETL and real-time pipelines with Airflow, Python, Redshift and Kafka to centralize the data warehouse, improve freshness and support recommendation model training and Looker reporting.
Data Engineer Intern
Minted
Aug 2016 - Mar 2017 (7 months)
Supported development of ETL pipelines and data validation in Airflow to improve data reliability for analytics during an early-stage data platform buildout.
Education
Degrees, certifications, and relevant coursework
University of Southern California
Bachelor of Science, Computer Science
2011 - 2015
Completed a Bachelor of Science in Computer Science with coursework supporting software engineering, data systems, and algorithms.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
liuc.devJob categories
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