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Prasanna M Lakshmipathy
Principal Consultant-Technology Solutions & Configuration✅HealthEdge ✅Facets ✅QNXT ✅Amisys ✅FHIR ✅EDI|Edifecs ✅Cloud (Azure) ✅DevOps
Prasanna Lakshmipathy is an accomplished Senior Technical Product/ Implementation Solutions Consultant at Aadhick Solutions Inc. He has over fifteen years of experience in the healthcare industry, specializing in System and Technical data analysis. Lakshmipathy is a seasoned expert at configuring, designing, and developing technical solutions based on his cross-functional expertise across multiple core payer systems, including TriZetto Facets, QNXT, and Health Edge. As an Implementation consultant, he has worked on four migrations and created 100+ artifacts, including FDD, TDD, Claims test scenarios, and release notes. Lakshmipathy has extensive consulting domain experience, with expertise in all core payer systems, providing companies with the highest possible ROI.
He has completed high-level design and extract to support the FHIR standard for payer data (CMS interoperability and Patient Access Final Rule) in a short span of three months. Lakshmipathy has worked on 10+ 3rd party integrations (vendor feeds), such as id cards, letters, repricers, BH, EOB, EOP, NIA, broker commission, RX & dental claims, BH, and Accums, along with 2 highly complex production application issues- 100+ membership and Provider triage (errors)- providing corrective solutions to maximize ROI. Lakshmipathy is also an expert in developing and implementing solutions for COVID-19 Claims pricing.
Lakshmipathy has a Master of Science (M.S.) in Information Systems from Minot State University and a Bachelor's degree in Engineering from Bharathiar University. He has previously worked as a Senior Technical Business Analyst at Source Infotech Inc, a System Engineer at IBM, a Business System Analyst & Onsite Project Coordinator at First Consulting Group, a Business Analyst (On Contract) at Saksoft, and a Business Analyst at Consultburg Service Pvt Ltd.
Highlights
🚀Transform Your Data Lake into an Insight Engine with Generative AI! 📊
Businesses today are leveraging vast data lakes, but extracting actionable insights can be a challenge. Here’s how AWS and generative AI are changing the game:
🔺Natural Language Queries: No more SQL! Ask questions like, “How do user ratings differ across product categories?” and get instant insights. 🗣️ 🔺Efficient Data Preparation: Use Amazon EMR Serverless to process and convert large datasets to query-friendly formats like Parquet. 📂 🔺Automated Data Quality Checks: AWS Glue Data Quality offers automated recommendations and rules to ensure your data is accurate and reliable. 🔍 🔺Advanced Query Translation: Anthropic’s Claude 3 Sonnet model in Amazon Bedrock converts natural language into SQL, allowing you to interact with your data seamlessly. 🤖 🔺Scalable Deployment: Deploying the infrastructure is streamlined using AWS CDK, ensuring quick setup and scalability. 📈
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What insights are you ready to uncover in your data lake? 💡 Share your ideas below! 👇
🚀Power Up Your DevOps with Kubernetes!🚀
Kubernetes is crucial for efficient container management. Here’s why it stands out:
- 🛠Effortless Orchestration: Automates deployment and scaling of containerized apps, reducing manual intervention.
- 🔄99.9% Uptime: Utilizes Replica Sets to maintain the desired number of pods, ensuring high availability.
- 📈Dynamic Scaling: Supports Horizontal Pod Autoscaling based on CPU usage or other custom metrics.
- 💪Auto-Healing Capabilities: Detects and replaces failed or unhealthy pods, maintaining system reliability.
- 🆕Zero Downtime Deployments: Performs rolling updates to roll out new features without service interruptions.
How has Kubernetes improved your DevOps workflow? Let’s share insights! 👇
#Kubernetes #DevOps #CloudNative #ContainerManagement #HighAvailability #Autoscaling #ContinuousDeployment #TechFacts
