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Jeffrey Santana

@jeffreysantana

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Senior Data Engineer driving scalable cloud data platforms and insights.

United States

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What I'm looking for

I seek senior data engineering roles building scalable, cloud-native ETL/ELT and data warehouse systems in agile teams, with opportunities to mentor, improve data quality, and deliver measurable business impact.

I am a Senior Data Engineer with over 10 years of experience building scalable data solutions across AWS, GCP, and Azure, specializing in ETL/ELT, data warehousing, and real-time ingestion for healthcare, fintech, e-commerce, and energy domains.

I design and implement robust pipelines and data architectures using Snowflake, Spark, Python, dbt, Airflow, and cloud-native services to improve data quality, reduce latency, and enable analytics-driven decisions. My work has delivered measurable gains like 50% query improvements, 45% ingestion throughput increases, and substantial cost reductions.

I thrive in agile, cross-functional teams, mentor engineers, and prioritize monitoring, testing, and CI/CD practices to ensure resilient, compliant systems that support business outcomes and regulatory needs.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Arine

May 2025 - Present (5 months)

Designed and implemented scalable ETL systems using AWS, Snowflake, and DynamoDB to support real-time analytics and regulatory healthcare reporting, reducing pipeline execution time by 25% and analytics latency by 35%.

Python SQL Snowflake AWS Lambda DynamoDB ETL AWS Step Functions Redis CI CD

Senior Data Engineer

Wizeline

May 2022 - May 2025 (3 years)

Designed cloud data architectures and end-to-end ELT pipelines on AWS and Snowflake, applying Medallion Architecture and query tuning to cut analytical query times by 50% and enable scalable customer analytics.

Snowflake AWS Databricks Spark Python DBT Apache Airflow Kafka SQL

Data Engineering Consultant

S&P Global

Jul 2019 - Apr 2022 (2 years 9 months)

Redesigned and automated risk data pipelines using Spark, Python, and Snowflake, transforming batch processes into near real-time ingestion and reducing transformation inconsistencies by 90%.

Apache Spark Python Snowflake Databricks Apache NiFi Kafka ELT SQL

Data Engineer

SolarCity

Nov 2015 - Jul 2019 (3 years 8 months)

Optimized data warehouse and ETL processes, migrated Airflow to AWS, and implemented forecasting algorithms that improved solar production forecast accuracy by 20% while reducing CRM costs by 75% via Reverse ETL.