Experience

• 

  Bytecraft system

  Jul 2018 - Jul 2022

  Data engineer

  • Healthcare Data Integration & ETL Pipelines: Developed scalable ETL processes using Azure Data Factory, Informatica, and Python to ingest, transform, and process Electronic Health Records (EHR), insurance claims, and patient demographics, improving data processing efficiency by 45%.• Cloud-based Healthcare Data Lake Implementation: Built an Azure-based data lake using Azure Data Lake Storage (ADLS) and Blob Storage, integrating structured and unstructured healthcare data (EHRs, medical imaging, IoT sensor data) for real-time patient monitoring and predictive analytics.• Real-time Patient Monitoring & Alerts: Designed and implemented a real-time patient alert system using Apache Kafka, Azure Event Hub, and Azure Stream Analytics, reducing critical event response times by 25% for ICU patients.• Data Security & HIPAA Compliance: Developed end-to-end data security frameworks using Azure Key Vault, Role-Based Access Control (RBAC), and Transparent Data Encryption (TDE), ensuring full HIPAA compliance for protected health information (PHI).• Predictive Analytics for Disease Risk Modeling: Integrated machine learning models in Azure Databricks to analyze historical patient data, predicting readmission risks, chronic disease progression, and treatment effectiveness with 85% accuracy.• Optimized Medical Data Warehousing & BI Reporting: Migrated clinical and financial reports from SQL Server to Azure Synapse Analytics, improving reporting speed by 30% and integrating Power BI dashboards for hospital administrators.• CI/CD & DevOps for Healthcare Data Pipelines: Automated infrastructure provisioning and data pipeline deployments using Terraform, Azure DevOps, and GitHub Actions, reducing manual intervention by 50% and ensuring seamless production rollouts. Show less

• 

  Charles schwab

  Jan 2024 - now

  Data engineer

  • Azure-Based Data Engineering & ETL Pipelines: Designed and optimized scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks, and PySpark, transforming large-scale financial datasets from multiple investment platforms into Azure Data Lake Storage (ADLS), reducing data latency by 40%. • Financial Data Integration & Analytics: Developed and maintained real-time and batch data ingestion workflows from trading systems, stock market feeds, and wealth management tools, leveraging Azure Event Hub and Kafka for stream processing, improving data availability by 99.9%. • Cloud Migration & Performance Optimization: Led a legacy system migration to Azure Synapse Analytics, implementing distributed query optimization strategies that reduced query execution time by 35% and improved report generation for investment portfolios. • CI/CD & DevOps for Financial Data Pipelines: Built and deployed fully automated CI/CD pipelines using Azure DevOps, Terraform, GitHub Actions, and Jenkins, ensuring a 40% reduction in deployment time and minimizing production rollbacks. • Real-time Fraud Detection & Risk Analytics: Designed and implemented a real-time financial fraud detection system using Azure Event Hub, Azure Stream Analytics, and Databricks, improving anomaly detection rates by 30% and reducing fraudulent transactions by 20%. • Data Governance & Security Compliance: Ensured SOX (Sarbanes-Oxley Act) and FINRA compliance by developing data security frameworks with Azure Key Vault, RBAC (Role-Based Access Control), and Data Masking to protect sensitive financial transactions. • Enterprise Data Warehousing & Business Intelligence: Integrated Azure Synapse and Power BI for comprehensive risk modeling, investment performance tracking, and liquidity analysis, increasing financial insights accuracy by 25%. Show less