08/15/2025 updated
RR
100 % available
Senior Data Architect and Cloud Solutions Specialist
Aldie, USA
Worldwide
BS in Engineering (Major in Computer Science)Artificial IntelligenceAmazon Web ServicesAutomationTest AutomationMicrosoft AzureBusiness IntelligenceCloud ComputingDatabasesContinuous IntegrationData ArchitectureInformation EngineeringData GovernanceExtract Transform Load (ETL)Data QualityData WarehousingDevOpsFraud Prevention and DetectionInfrastructure ManagementPython (Programming Language)PostgreSQLMachine LearningMicroStrategyMongoDBMySQLNoSQLPerformance TuningPredictive AnalyticsVisualizationQuery OptimizationPower BITensorflowSentiment AnalysisSQL DatabasesTableau (Software)WorkflowsData ProcessingApache SparkDeep LearningGitlabContainerizationData LakeScikit LearnKubernetesCassandraAWS GlueGDPRTerraformData PipelineDatabase AdministrationJenkins
Cloud Data Architecture
Expert in designing and implementing cloud-based solutions across AWS, Azure, and GCP platforms with extensive experience in data lakes, data warehousing, and real-time streaming systems.
Data Engineering & ETL
Specialized in building robust, end-to-end data pipelines using Python, AWS Glue, Apache Spark, and other technologies to automate and optimize data processing workflows.
Business Intelligence & Visualization
Advanced skills in creating interactive dashboards and reports using Power BI, Tableau, and MicroStrategy to deliver actionable insights and support data-driven decision-making.
Machine Learning & AI
Experience implementing AI/ML models for fraud detection, sentiment analysis, and predictive analytics using TensorFlow, Scikit-learn, and deep learning techniques.
Database Management
Proficient in managing complex database systems including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) with expertise in query optimization and performance tuning.
DevOps & CI/CD
Knowledge of infrastructure-as-code using Terraform, containerization with Kubernetes, and CI/CD pipelines with Jenkins and GitLab for automated testing and deployment.
Data Governance & Compliance
Experience implementing data governance frameworks ensuring compliance with regulations like GDPR and CCPA while maintaining data quality and integrity.
Expert in designing and implementing cloud-based solutions across AWS, Azure, and GCP platforms with extensive experience in data lakes, data warehousing, and real-time streaming systems.
Data Engineering & ETL
Specialized in building robust, end-to-end data pipelines using Python, AWS Glue, Apache Spark, and other technologies to automate and optimize data processing workflows.
Business Intelligence & Visualization
Advanced skills in creating interactive dashboards and reports using Power BI, Tableau, and MicroStrategy to deliver actionable insights and support data-driven decision-making.
Machine Learning & AI
Experience implementing AI/ML models for fraud detection, sentiment analysis, and predictive analytics using TensorFlow, Scikit-learn, and deep learning techniques.
Database Management
Proficient in managing complex database systems including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) with expertise in query optimization and performance tuning.
DevOps & CI/CD
Knowledge of infrastructure-as-code using Terraform, containerization with Kubernetes, and CI/CD pipelines with Jenkins and GitLab for automated testing and deployment.
Data Governance & Compliance
Experience implementing data governance frameworks ensuring compliance with regulations like GDPR and CCPA while maintaining data quality and integrity.
Languages
EnglishNative speaker
Project history
Designing and deploying scalable data lakes and warehouses using AWS Redshift, automating ETL/ELT pipelines with Python and AWS Glue, implementing AI/ML fraud detection models, and building advanced Power BI dashboards.
Led payment modernization project, managed product backlog, resolved data quality issues, implemented CI/CD pipelines, applied AI models for fraud detection, and leveraged analytics tools to monitor enterprise applications.
Designed data lakes and warehouses with AWS Redshift, automated ETL/ELT pipelines, engineered data transformation workflows, built CI/CD pipelines, created Power BI dashboards, and integrated AI/ML fraud detection.