Eric Daniel

Senior Data Engineer

HCA HEALTHCARE

Oct 2024 - Current (1 year 7 months)

HCA Healthcare is one of the largest U.S. healthcare providers, operating 180+ hospitals and 2,000+ care sites. As an individual contributor in a contract role, I have led key data engineering initiatives to modernize cloud infrastructure, optimize real-time data ingestion, and enhance analytics capabilities. My work supports predictive healthcare analytics, improves patient outcomes, and ensures compliance with healthcare regulations within a multi-cloud, enterprise-scale data ecosystem.Led the migration and optimization of large-scale ETL/ELT pipelines using Snowflake, AWS Glue, Lambda, S3, pandas, pyarrow, sqlalchemy, boto3, pyspark and dbt, transitioning legacy systems to scalable cloud solutions while improving data processing throughp

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Senior Data Engineer

Enclara Pharmacia

Aug 2019 - Sep 2024 (5 years 2 months)

Enclara Pharmacia is a leading pharmacy services provider specializing in medication management for hospice and palliative care. As a Senior Data Engineer, I architected and led data engineering initiatives that transformed cloud infrastructure, modernized data warehousing, and strengthened compliance, driving operational excellence and patient safety across the enterprise.Designed and deployed robust data pipelines using Azure Data Factory, Databricks (PySpark), DBT (dbt Cloud), PostgreSQL, and NoSQL databases (MongoDB), automating data ingestion, transformation, and validation, which reduced latency in ETL/ELT workflows by 50% and ensured trusted, production-grade data aligned with Kimball methodology.Engineered a modern data warehouse ar

Senior Technical Consultant – Data Engineering

MoneyLion

Jul 2018 - Jul 2019 (1 year 1 month)

MoneyLion is a fintech company offering personal financial services and digital banking solutions. As a Senior Technical Consultant, I delivered critical data infrastructure enhancements that improved scalability, compliance, and real-time analytics.Developed and optimized ETL pipelines using AWS Glue, Redshift, and Python, reducing data latency by 40% and supporting real-time credit risk and fraud analytics.Led performance tuning and cost optimization for Redshift data warehouse, implementing partitioning, workload management, and query optimization strategies that improved reporting speeds by 50% while cutting costs.Engineered secure data ingestion and transformation workflows integrating customer transactions, KYC/AML compliance data, an

Data Scientist

Pattern Energy

Feb 2013 - Jun 2018 (5 years 5 months)

Pattern Energy is a leader in renewable energy, specializing in the development, construction, and operation of wind and solar power projects. Starting as a Data Engineer, I grew into a Lead Data Engineer, contributing to the design, optimization, and management of data infrastructure to support real-time analytics and improve energy production efficiency across multiple facilities.Led the design and optimization of ETL pipelines using SQL, Python, and AWS Glue, processing large-scale datasets from renewable energy assets to support operational efficiency, predictive analytics, and financial reporting.Engineered data lakes on AWS S3, integrating real-time data streams from IoT sensors across wind and solar assets into a centralized reposito

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