Nydia Medina Senior Data Engineer

SENIOR DATA ENGINEER

Ancient Global

Jul 2025 - Dec 2025 (6 months)

• Designed and operated end-to-end Azure Data Factory pipelines ingesting healthcare datasets from dental practice management, orthodontics, and ambulatory surgery center systems, ensuring data quality and serving as a primary point of contact for Azure and data support. • Implemented Power BI semantic models and DAX measures to standardize clinical, operational, and financial metrics, improving reporting accuracy and enabling shared analytics across healthcare providers and stakeholders. • Created Power BI reports and datasets and exposed analytics-ready SQL views for downstream consumption in Excel and BI tools, improving accessibility and consistency of operational data. Key Achievements: o Delivered an end-to-end provider performance d

DATA ENGINEER

Blue Orange Digital

Aug 2024 - Jun 2025 (11 months)

• Implemented and maintained Azure-based data pipelines ingesting real estate datasets from property management systems, CRMs, marketing platforms, and external APIs to support analytics reporting across multiple clients. • Optimized and supported Azure Data Factory pipelines by troubleshooting ETL failures, tuning performance, and improving data validation processes within Azure SQL environments. • Investigated and resolved complex data integration and validation issues reported by customers and internal teams, providing technical guidance and ensuring reliable delivery of analytics datasets. • Supported the ongoing migration of the analytics platform toward Microsoft Fabric, helping transition existing data workflows and reporting systems

AZURE DATA ENGINEER

Microsoft

Jan 2024 - May 2024 (5 months)

• Developed and optimized SQL Server stored procedures supporting financial projections and revenue processing for internal Microsoft products. • Implemented SQL Server partition switching strategies to swap dataset versions efficiently during controlled data refresh workflows. • Automated data mart snapshots for versioning and facilitated data transfer to Azure Data Lake Storage (ADLS) for downstream analytics processing. • Developed Python-based data validation workflows to identify and resolve data quality inconsistencies between SQL Server and Databricks processing layers, ensuring the integrity of financial datasets across the pipeline. • Enhanced multi-tenant data modeling in SSAS and adjusted pipeline logic to support evolving produc

DATA ENGINEER

Netlandish Inc

Feb 2023 - Dec 2023 (11 months)

• Designed and optimized ELT pipelines in Databricks to process large-scale marketing datasets using Spark and Delta Lake, implementing Medallion architecture patterns to structure raw, curated, and analytics-ready data layers. • Implemented automated data ingestion and transformation workflows using APIs and Python within Databricks to support scalable marketing analytics pipelines and downstream visualization in Tableau. • Optimized Spark job performance through tuning strategies, including partition management, query optimization, and efficient data processing patterns to reduce execution time and compute costs. • Managed Databricks clusters and AWS infrastructure to ensure system reliability, monitor workloads, and support timely update

SOFTWARE ENGINEER

OOQIA

Sep 2021 - Jan 2023 (1 year 5 months)

• Architected and maintained scalable backend systems supporting web and mobile applications using Azure cloud services. • Built, documented, and integrated RESTful APIs in Python and JavaScript with third-party services and external platforms. • Implemented CI/CD pipelines in Azure DevOps, led code reviews, and provided technical guidance to ensure high-quality and reliable releases. • Led multiple Agile cross-functional teams through iterative product development cycles. Key Achievements: o Led the launch of the backend infrastructure for one web application and two mobile apps, managing the entire development cycle from design to deployment, including CI/CD and monitoring best practices, and ensuring high availability and security using

DATA ENGINEER

OOQIA

Jun 2019 - Sep 2021 (2 years 4 months)

• Designed and implemented ELT pipelines using Azure Data Factory and Databricks to integrate multiple application data sources into Azure Data Lake, following Medallion architecture principles for data processing. • Implemented data transformation models using dbt to structure analytics-ready datasets and support reporting and business intelligence workflows in Looker. • Built scalable data models and cloud data warehouse structures using Spark and Delta tables to support layered data processing across raw, curated, and analytics-ready datasets. • Transformed raw application data into actionable insights using Python-based data processing and analytics workflows. • Redesigned legacy data architectures by reverse engineering existing system

Nydia Medina

About

Detail

Timeline

Résumé