Open to opportunities

German Aguirre

@germanaguirre

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Senior Data Engineer architecting cloud-native ETL/ELT and streaming pipelines for fintech healthcare.

Zimbabwe

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What I'm looking for

I’m looking for a senior role building cloud-native data platforms—ETL/ELT plus real-time streaming—with strong data governance, observability, and cross-functional ownership. I want work where I can optimize architecture, reduce failures/latency, and ship reliably.

I’m a Senior Data Engineer with 8+ years designing and building cloud-native data platforms across healthcare and fintech. I specialize in scalable ETL/ELT and streaming pipelines that process billions of records while keeping data secure, observable, and production-ready.

Most recently at Comcast, I designed and implemented AWS Glue ETL pipelines for semi-structured XML/JSON ingestion at massive scale, and I built 50+ MWAA-Airflow workflows (Python DAGs) with automated SQL-based validations that reduced job failure rates by 20%. I also managed multi-node Apache Spark on AWS EC2 to improve processing efficiency by 30% and deliver 99.9% uptime for business-critical processing.

Earlier at Day & Zimmermann, I delivered a privacy-centric ingestion and ML feature engineering framework on Amazon Aurora and built real-time fraud detection with Kafka, Spark Streaming, AWS Lambda, and Snowflake—cutting average fraud alert latency by 65%. I continually optimize pipelines and delivery practices using Python/SQL, DBT, CI/CD, and strong semantic-KPI modeling to reduce discrepancies and speed deployment cycles.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer / Architect

Comcast

Oct 2023 - Jan 2026 (2 years 3 months)

Designed and implemented scalable ETL pipelines with AWS Glue to process semi-structured data (XML/JSON), ingesting billions of records and storing curated datasets in S3. Developed and managed 50+ MWAA-Airflow workflows to reduce job failure rates 20%, improve Spark processing efficiency 30%, and maintain 99.9% uptime for business-critical processing.

AWS Glue Pyspark Amazon S3 MWAA Airflow Apache Spark Amazon EC2 Docker SQL Data Validation

Senior Data Engineer

Day & Zimmermann

Jun 2021 - Sep 2023 (2 years 3 months)

Built a privacy-centric data ingestion and ML feature engineering framework on Amazon Aurora for healthcare, supporting real-time integration and processing billions of transactions weekly. Delivered real-time fraud detection with Kafka/Spark Streaming/Lambda and Snowflake, reducing average fraud alert latency 65%, and improved ML refresh cycles 40% and accuracy 15% with stored procedures and opti

Amazon Aurora Kafka AWS Lambda Snowflake PostgreSQL Stored Procedures DBT Data Orchestration Semantic Layer Design

Data Engineering Consultant

Panda Express CA&C

Sep 2018 - Nov 2020 (2 years 2 months)

Led architecture and implementation of cloud-native data platforms for 10+ enterprise clients, integrating high-volume sources and scaling solutions to 5TB+ of monthly data across AWS, Azure, and GCP. Engineered modern ELT pipelines with DBT, AWS Glue, and Redshift to reduce time-to-insight for patient analytics 55%, and delivered data governance and infrastructure accelerators that reduced onboar

DBT AWS Glue Amazon Redshift Data Governance Lineage Tracking Access Control AWS Cloud Platforms (AWS Azure GCP)