SABÁS RODRÍGUEZ

Internal project: Fabric platform architecture and administration (Fabric Administrator role) — Sep 2026 – Present • Designing the Fabric platform architecture for an internal BairesDev initiative: capacity and workspace topology, domains, and dev/test/prod separation. • Defining the security model (workspace roles, Entra ID groups, Lakehouse and Warehouse access) and platform standards for Medallion layering, naming, and Lakehouse structure. • Monitoring capacity and usage through the Fabric Capacity Metrics app and the admin monitoring workspace to guide sizing and workload placement. Client: Life Line Screening, U.S. preventive healthcare company — Jul 2024 – Aug 2026 • Led the complete migration from SQL Server to Microsoft Fabric, re-engineering SSIS packages and SSRS reports into a Bronze/Silver/Gold Lakehouse; planned it with a complexity-scoring model and component mapping, and cut end-to-end processing time by 25%. • Cut processing time of the customer classification pipeline (new vs. returning) from 6.5 to 2.5 hours per cycle (61%) by refactoring PySpark jobs and redesigning the Bronze-to-Silver layer, with each cycle fully recomputing 2M+ customers across 10 source tables. • Reduced monthly data-inconsistency incidents by 63%, measured in closed support tickets, by automating validations on Delta tables from Bronze to Gold. • Built a Python monitoring safeguard on the Fabric REST API that detected failed pipeline runs, Mirroring replication errors, and semantic model refresh failures, alerting the team through a Microsoft Teams channel. • Protected PHI with row- and column-level security and restricted external users to SQL-only access. • Shortened deployment time from 8 hours to 1 hour by implementing CI/CD with GitHub and native Git integration in Fabric workspaces. • Sped up a critical Spark query from 33 to 12 minutes (64%) by fixing data skew, pruning unused columns, eliminating repeated table scans, and adding caching and partitioning. • Designed the Direct Lake star-schema semantic model behind 16 executive dashboards used by 65+ stakeholders. • Trained 4 junior engineers in Databricks and Medallion architecture; all reached independent work within 12 weeks.

BairesDev

• Guide students through Python, SQL, and Power BI projects built on real-world datasets. • Mentor students on DAX, data modeling fundamentals, and cloud architecture concepts.

Henry Academy

• Evolved data platforms for 7 clients from Python and SQL Server ETL to Azure Data Factory and Synapse, and later to Microsoft Fabric (2023–2024). • Built Python (pandas) ETL pipelines loading a SQL Server data warehouse, orchestrating existing stored procedures for downstream transformations. • Cut a client's cloud consumption costs by 20% by refactoring legacy Azure Synapse and Data Factory flows: pausing idle compute, eliminating redundant pipeline runs, and replacing full loads with incremental loads. • Built the data layer for 230+ executive and operational dashboards across client projects. • Delivered internal training on ETL pipelines and, from 2023, on Microsoft Fabric.

Grupo Es Ingeniería C.A.

• Managed national-scale identity management projects, coordinating secure data integration across multiple government agencies under strict compliance and security requirements.

SAIME