At Datacracy, I build and support production data workflows for international Oil & Gas clients. I built and deployed six Airflow DAGs for SQL Server-to-Snowflake feeds, with end-to-end runs completing within the 15-minute SLA and 100% source-to-target row parity.
During an enterprise move from legacy Talend workflows to Airflow/Astronomer, Snowflake, dbt and Databricks, I contributed to extending existing ingestion, telemetry and reverse-ETL pipelines while preserving downstream behavior. I also reconciled a 544M+ row production dataset and resolved 726K+ mismatched records through controlled reprocessing and verification.
I investigate production issues by tracing how data moves across systems. For a reverse-ETL outage, I traced duplicate business keys to their source and helped restore processing for 90K+ operational records; on an event-reporting change, I traced effects across nine Snowflake/dbt views and restored visibility for 1.3M+ records.
Earlier, at CORPORACIÓN GAIA, I managed day-to-day technology operations and developed internal tools and automation. At AEROSANIDAD, I developed an operational application for emergency management using .NET/C#, SQL Server, backend logic and reporting.
