With over 20 years of experience, I have worked with top-tier brands such as DXC, Lincoln National, Jackson National, and Cisco, delivering scalable, secure, and high-performance solutions. I specialize in data engineering, analytics, AI/ML, and LLM-powered solutions, focusing on building robust ETL pipelines, optimizing data workflows, and ensuring seamless data integration across platforms. My expertise spans cloud-native, serverless, and microservices architectures, with deep knowledge of CMMI Level 5, SOC2, HIPAA, GDPR, ISO 27001, and PCI DSS compliance for secure and governed data management.
I have extensive hands-on experience in data engineering, working with tools like Apache Airflow, Talend, AWS Glue, dbt, and Spark for ETL and large-scale data processing. I have designed and optimized data lakes and warehouses on AWS, Azure, and GCP, leveraging PostgreSQL, MySQL, MongoDB, and Cassandra for structured and unstructured data. My expertise includes real-time data streaming with Apache Kafka and Kinesis, ensuring high availability and performance. I also specialize in AI/ML-driven data automation, leveraging LLMs for intelligent processing.
My visualization expertise spans Looker Studio, Power BI, Tableau, and Grafana, enabling the creation of insightful, data-driven dashboards. With strong DevOps knowledge, including CI/CD, Docker, Terraform, and cloud infrastructure automation, I ensure scalable and optimized deployments. I am ready to start immediately and happy to discuss how my expertise can support your project.
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