Jean Gardy Delerme

Senior Data Engineer with 10+ years of experience building scalable cloud data platforms, production ETL/ELT pipelines, and enterprise data warehouse solutions. Strong hands-on experience with Databricks, PySpark, Apache Spark, Python, advanced SQL, data modeling, pipeline orchestration, and large-scale data transformation. Experienced preparing trusted datasets for analytics and reporting, monitoring pipeline health, troubleshooting production issues, and implementing data quality, governance, security, and documentation standards across Azure and AWS environments.

Senior Data Engineer - Realtime Technology - Miami, FL

(2022-08 - 2026-05)

• Designed and maintained scalable Databricks data pipelines using PySpark, Apache Spark, Python, and SQL to process and transform large structured and semi-structured datasets across cloud and enterprise systems.
• Built and optimized ETL/ELT workflows, dimensional data models, and analytics-ready datasets while implementing data validation, error handling, monitoring, and performance tuning.
• Supported production pipeline health through troubleshooting and root-cause analysis, documented data workflows and standards, and collaborated with analytics, engineering, and business stakeholders on data requirements and delivery.

Senior Data Engineer - InComm - Miami, FL

(2015-05 - 2022-08)

• Developed enterprise-scale SQL and Python data pipelines supporting high-volume financial and transactional data, reporting, analytics, and operational decision-making.
• Designed data warehouse structures and dimensional models, integrated data from APIs, SQL databases, applications, and cloud systems, and optimized ETL processes for performance and reliability.
• Implemented data quality, validation, reconciliation, governance, and production support practices while contributing to Azure/AWS cloud data initiatives and Git-based Agile delivery.

Data Engineer - TherapeuticsMD - Boca Raton, FL

(2012-01 - 2015-05)

• Built SQL Server ETL pipelines and centralized warehouse datasets supporting operational analytics and enterprise reporting.
• Developed reusable transformations, dimensional models, validation rules, and data-quality checks to improve consistency and reporting accuracy.
• Troubleshot data integration and performance issues, optimized SQL queries, documented workflows, and worked with business users to deliver reliable reporting datasets.

Bachelor of Science - Computer Science - Florida Atlantic University