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Mario Medina Hernandez
Open to opportunitiesTechnical support engineer
I build Python automations and cloud observability tools that make data platforms more reliable.
ColombiaTechnical support engineer at Simetrik
About
At Simetrik, I investigate and resolve complex technical issues across a financial automation and reconciliation platform, working with data flows, APIs, cloud services, databases, and platform configurations.
I use Python, SQL, PostgreSQL, and Snowflake to analyze data inconsistencies, validate processing results, identify root causes, and build internal tools that reduce repetitive troubleshooting work.
I monitor production systems with Datadog and Amazon CloudWatch, investigate incidents, and develop alerts for critical processes. I collaborate closely with Engineering to reproduce errors and distinguish configuration, data, processing, and product issues.
I'm most comfortable where software, automation, infrastructure, and data meet. I focus on creating secure, traceable, reproducible solutions that help teams operate more efficiently and reliably.
Experience
Technical support engineer
As a Technical Support Engineer at Simetrik, I investigated and resolved complex production issues in a financial automation and reconciliation platform, combining technical support, data analysis, cloud operations, observability, and automation to troubleshoot data flows and reconciliation processes.
PythonSQLPostgreSQLSnowflakeAWSDatadogIncident ManagementTroubleshootingAutomationData AnalysisObservability
Asociado
I was responsible for providing technical and analytical support for decision-making related to the company's and clients' daily operations. This involved working with internal and client databases when necessary, as well as creating reports and visualizations to support data-driven decisions.
Education
Henry
Used data development and visualization tools to perform in-depth analysis of existing data sources, while gaining hands-on experience in data engineering through designing databases and building processes to extract, transform, and store data for further analysis and decision-making.
Universidad Autónoma del Caribe