Data Engineer with 4+ years designing and managing data pipelines in fintech , government , and tech sectors . Skilled in Python , SQL , ETL/ELT , AWS , Airflow , and real-time data replication . Proven team leader and AWS certified . B2 English
Orchestrated production data workflows with Apache Airflow on Kubernetes. Automated monitoring, self-healing, and data consistency pipelines. Ensured near real-time data availability and reduced manual intervention.
Logro principalManaged 28+ real-time pipelines ingesting data from 21+ PostgreSQL DBs into a centralized warehouse. Automated job management, health monitoring, and data recovery via FastAPI. Designed self-healing workflows and automated schema reconciliation.
Automated structure and quality validations, eliminated manual review, and reduced errors. Consolidated Oracle data in AWS. Coordinated design, development, and deployment phases for government projects.
Logro principalBuilt automated data auditing platform for CSV validation, duplicate detection, and reporting using AI models. Led a team of 3, managed AWS Glue, Lambda, S3, Athena ETL pipelines, and developed Python scripts for clinical billing data.
Created dashboards for banking operations, implemented image capture for anomaly detection, and improved operational efficiency for treasury teams.
Logro principalLed bank transaction classification projects in NetSuite. Automated reconciliation workflows, built rule-based logic for transaction classification, and developed pipelines with Google Sheets integration.