Marcus Delgado

Profile

Senior Data Engineer with 8 years building production-grade data pipelines and lakehouse architectures across fintech and e-commerce domains. Specializes in Apache Spark, dbt, and Snowflake, with a track record of cutting pipeline latency by 60% and reducing cloud spend by $400K annually. AWS Certified Data Analytics professional who thrives at the intersection of data reliability and business intelligence.

Work Experience

Senior Data EngineerMar 2021 - Present

Meridian Financial Technologies, Austin, TX

Redesigned the core ETL framework using Apache Spark on EMR and dbt, reducing average pipeline run time from 4.2 hours to 47 minutes across 300+ daily jobs.
Architected a Snowflake-based lakehouse migration from a legacy Redshift cluster, cutting monthly cloud infrastructure costs by $34K and improving query concurrency by 3x.
Built a real-time fraud-signal streaming pipeline with Kafka and Flink that processes 1.8 million events per hour with sub-500ms end-to-end latency, directly supporting a 22% reduction in chargebacks.

Data EngineerJun 2018 - Feb 2021

Cartwheel Commerce, Denver, CO

Developed and maintained 80+ Airflow DAGs orchestrating nightly data loads from 14 third-party APIs into a Redshift warehouse, achieving 99.6% pipeline reliability over 18 months.
Implemented a dbt-based transformation layer with full data lineage and automated testing, cutting data-quality incidents reported by analysts from 30 per month to under 4.
Collaborated with the ML platform team to deliver a feature store on S3 + Delta Lake that reduced feature-engineering time for data scientists by an estimated 40%.

Junior Data EngineerAug 2016 - May 2018

Lodestar Analytics, Chicago, IL

Wrote Python ingestion scripts to pull data from REST and GraphQL APIs into PostgreSQL, supporting a client reporting suite used by 12 enterprise accounts.
Optimized slow-running SQL queries across a 2TB transactional database, reducing average dashboard load time from 18 seconds to 3 seconds.
Assisted in migrating on-premise Hadoop jobs to AWS Glue, contributing to a 6-week project that saved the client $180K in annual infrastructure licensing fees.

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