Juan David Trejos
@juandavidtrejos
Data Operations Analyst and software engineering student transforming raw data into trusted insights.
What I'm looking for
I’m a Data Operations Analyst and software engineering student focused on making data accurate, consistent, complete, and reliable. I support data operations end to end—ETL workflows, data ingestion, validation, and quality assurance—so teams can trust what downstream systems and decisions depend on.
In my recent experience, I improved data accuracy to 100% through reconciliation and QA controls, reduced data inconsistencies by 20% using SQL-based cleansing, normalization, mapping, and cross-platform validation, and automated ETL/data ingestion workflows to cut manual processing by 15 hours weekly. I also strengthened data consistency and completeness by implementing automated data quality assurance checks and anomaly detection procedures.
I’m equally comfortable validating high-volume real-time structured data feeds, monitoring for anomalies, and resolving data quality issues across multiple sources to reduce operational incidents and speed up issue resolution. I take pride in attention to detail and in documenting workflows clearly so data operations run smoothly in fast-paced environments.
Experience
Work history, roles, and key accomplishments
Maintained 99.9% data accuracy by validating high-volume real-time sporting event feeds and investigating data quality issues across multiple sources. Improved reliability by reducing discrepancies and operational incidents through anomaly detection, monitoring, and documented escalation workflows.
Data Operations Analyst
ForUsAll
Validated and audited payroll and retirement datasets to improve data accuracy to 100% using reconciliation and QA controls. Automated ETL/data ingestion with Python and AWS workflows, reducing manual processing by 15 hours weekly and cutting data inconsistencies by 20%.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional de Colombia
Bachelor of Science, Software Engineering
2022 -
Grade: 4.6/5.0 GPA
B.S. in Software Engineering at Universidad Nacional de Colombia (GPA: 4.6/5.0).
Availability
Location
Authorized to work in
Job categories
Skills
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