Designed and deployed enterprise-grade internal developer portals using containerized solutions (EKS, Docker, Kubernetes, OpenShift) and robust AWS services, enhancing system performance by 40%. Integrated e-commerce components including shopping carts, CMS frameworks, and API payment gateways, improving user experience and reducing shopping cart abandonment rates by 15%. Developed and deployed AI/ML models using TensorFlow, PyTorch, LangChain, and HuggingFace for processing unstructured data, resulting in $18M cost reductions in customer support automation.

Data Solutions Architect

Developed and optimized ETL pipelines using Python, SQL, Apache Spark, and DBT (Data Build Tool), reducing data processing time by 30% and ensuring efficient data handling for analytics. Implemented data workflows with Apache Scala and Hadoop, enhancing big data processing capabilities and contributing to a $50M increase in smart city funding. Collaborated with data scientists to deploy machine learning models in production using TensorFlow, PyTorch, AWS SageMaker, and IBM Watson Studio, enhancing predictive maintenance capabilities and securing $180M in contracts.

Data Solutions Engineer

Engineered and deployed scalable cloud-based data solutions using Microsoft Azure and AWS, integrating services such as S3, Redshift, Lambda, Glue, and Apache Kafka to support mission-critical e-commerce and smart city applications. Developed and optimized ETL pipelines and data workflows using Python, SQL, Apache Spark, Apache Scala, Hadoop, DBT, Apache Airflow, and Spark Streaming, reducing data processing time by 30%. Monitored and tuned data infrastructure performance, ensuring data security and compliance using Datadog, CloudWatch, Prometheus, Grafana, AWS IAM policies, encryption standards (KMS), and adhering to GDPR and HIPAA regulations, resulting in a 25% increase in data processing efficiency.

Data Analyst

Conducted research in Neurosurgery, focusing on risk factors and outcomes of procedures, contributing to advancements in surgical techniques and patient care. Managed extensive clinical data, performing statistical analysis using SPSS and R to support research studies published in peer-reviewed journals. Presented research findings at medical conferences, contributing to discussions on improving surgical techniques and patient safety.

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