S
Sergio D. Munoz
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California, United States
Résumé
Jobs
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- ASenior Data EngineerAllocationsAug 2024 - Current (2 years 3 months)• Launched and optimized scalable ETL pipeline on AWS using Lambda, S3 and Redshift to handle seamless integration of investor data and financial transactions into the platform and reduced data processing time by 30% throughout the overall data pipeline. • Built and maintained high performance data models in AWS Redshift and leveraged Kafka for real time data streaming by manipulating investor onboarding data, capital flows and fund performance metrics to support SPV management. • Implemented data governance and security protocols using Great Expectations for data lineage and AWS IAM for access control, ensuring GDPR and SEC compliance. Applied Cloudwatch and Datadog to monitor the pipeline to manage data privacy and stability and reduce
Full Stack Data EngineerAstro SirensMay 2020 - Jul 2024 (4 years 3 months)• Built and optimized ETL pipelines using Azure Data Factory and Databricks for processing healthcare patient records and insurance claims data for real time reporting on claims and medical outcomes by following HIPAA compliance through secure data handling with Azure IAM and Azure Key Vault. • Developed data models for the retail sector focusing on sales and customer transaction data to build a recommendation engine for personalized marketing by integrating data from multiple sources including POS systems and inventory management systems to provide actionable insight into product trends and stock levels. • Managed ETL pipelines using AWS Glue, Lambda, S3and Redshift to guarantee smooth integration and transformation of large scale enter- Data EngineerMetaOct 2017 - May 2020 (2 years 8 months)• Engineered data pipelines for personalized product ranking by utilizing Apache Spark and TensorFlow integration, improving search and browse relevance, leading to a 12% uplift in user engagement. • Built and deployed real-time product recommendation systems by leveraging Apache Kafka for event streaming and SQL transformations, confirming efficient and scalable data processing. • Maintained robust data pipelines for fraud detection, collaborating with product team to implement ETL processes using XGBoost for anomaly detection and validating timely data integration. • Built A/B testing pipelines for email campaign optimization, using Airflow for scheduling and orchestration, resulting in an 18% increase in conversion rates through stre
- Business Intelligence InternIBMJan 2017 - Jun 2017 (6 months)• Designed Kimball data warehouse models in Oracle Database, enabling efficient storage and retrieval of financial data, improving query performance by 40%. • Revamped the AML system for the company internal reporting system to optimize ETL time by 30%, reporting time by 20% and data warehouse size by 40%.
Education
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- Master of ScienceUniversity of TexasAug 2015 - Aug 2017 (2 years 1 month)
- Bachelor of ScienceUniversity of TexasJan 2011 - Aug 2015 (4 years 8 months)
- AWS Certified Solutions ArchitectAmazon Web Services