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SKILLSPostgreSQLMongoDBApache KafkaSnowflakePythonSQLTableau, Cognos, AWS Quick Sight &Power BIAmazon Glue, RedShift, EMR & LambdaPySparkWORK EXPERIENCEData Engineer Ocean Estate 2016-2022 RemoteData Analyst Afghanistan University 2014-2015 Remote Developed and maintained client dashboards using Tableau, Apache Cassandra, and MongoDB.Monitored and updated asset management data, leveraging SQL Server Integration Services (SSIS) for efficient ETL processes and data storage.Managed university database repository and documented SOPs. Cleaned and transformed data for predictive models from 15,200+ clients.Conducted data collection for 10+ research projects, utilizing SQL to perform in-depth analysis and deliver insights.DATA ENGINEERU.S. CITIZENPHONE NUMBER AVAILABLEEMAIL AVAILABLEWashington D.C., United StatesCONTACTTechniquesData WarehousingExtract, Transform, Load(ETL)Data IntegrationData PipelinesSQL Server ReportingData ManagementData MiningNoSQL DatabasesData VisualizationCERTIFICATIONSAWS Data EngineeringSnowPro Core CertifiedDatabricks FundamentalsEDUCATIONGeorge Washington Afghanistan UniversityUniversityBachelor of Computer ScienceMaster of Political Management, 2009-2013Majoring in Data Analytics2013-2014ToolsData Solutions Development & Implementation: Using Python, AWS Glue & EMR to analyze, design, and build data solutions for enterprise-level subordinate businesses to enhance data visualization capabilities and improve risk assessment processes. Data Pipeline Engineering: Engineered a data pipeline to consume and store 50TB of raw data monthly using Apache NiFi, Kafka, Redis(NoSQL), Python, and AWS Glue, contributed to a 30% increase in system efficiency and extensive data modeling to capture and refine business requirements and rules.Data Cleaning & Predictive Modeling: Performed comprehensive data cleaning on datasets from over 1200 contractors, facilitating the creation of predictive models and enhancing data quality. Leveraged AWS Glue for data transformation and cataloging, and Snowflake for efficient storage and query performance, integrating these tools with PostgreSQL for effective data management and analysis. Collaboration & Cross-Functional Partnership: Partnered with 20+ business analysts and 10+ DBAs to gather requirements, perform business analysis, and design data marts. Utilized Databricks, and Spark to create seamless data pipelines and efficient processing workflows, ensuring the timely delivery of data solutions. ETL Process Optimization: Led the analysis and resolution of ETL process failures, data anomalies, and warehousing issues identified by 300+ end-users. Recommended and implemented platform upgrades, resulting in an 80% reduction in recovery time. Competitive Insights & Value Chain Analysis: Examined data from multiple sources and provided actionable insights that offered a competitive advantage.OTHEREXPERIENCES12 Years of Lawmaking Utilizing Data forLegislation & CampaignProfessional Specialist at Princeton UniversityAdvisor at International Republican InstituteMonitoring & Evaluation ConsultancyI am a data engineer skilled in SQL, Python, AWS Glue, Snowflake & Tableau. I specialize in building data pipelines, and optimizing ETL processes, with a focus on data cleaning and predictive modeling.