Hari Murthy

• Designed and implemented end-to-end ML workflow of a recommendation and ranking system.
• Designed and implemented experiment tracking tool across domain for various ML models.
• Implemented large scale near real-time data pipelines for data warehouse
• Seamlessly orchestrate and manage ETL workflows by integrating DBT with Airflow for efficient data transformation and pipeline execution.
• Designed and Implemented various ingestion data pipelines from production databases such as PostgreSQL and DynamoDB.
• Contributed to internal activities for overall process improvements, efficiencies and innovation.
• Contributed to various infrastructure setup using terraform in GCP.

Tech Stack - Python, Fast API, Airflow, DBT, Kafka, GCP, Dataflow, PubSub, Pyspark, AWS Glue, Kubernetes, Terraform.

Led Software development initiatives as Subject Matter Expert and primary point-of-contact for project management staff.
Improved system performance by making proactive adjustments and resolving bugs.

• Health Record PDF generic parser
  Worked on a generic parser for interpreting unstructured health reports generated by multiple diagnostic labs in several different formats.
  Reduced the manual report processing time by 80%.
• Enabled Multi-tenancy in the platform
  Introduced new design to enable multi-tenancy in the platform which reduced the infrastructure management effort and cost.
• Data integration
  Implemented syncing of large datasets from external partner sources using kafka stream api.
• Technology Stack: Python, Django, celery, Kafka, Ruby on Rails, Rspec, ReactJS, MySQL, Jenkins, Docker, Kubernetes and Microsoft Azure.

Telehealth Platform

Web-based telehealth solution with video conferencing, virtual waiting rooms and in-app chats.

• Built backend as a serverless application on AWS lambda using Fast API and Pydantic.
• Built Websocket support using AWS Websockets gateway on AWS Lambda.
• Integrated AWS Cognito as Authentication Service.
• Automated test cases and deployment using drone and AWS CloudFormation.

Technology Stack - Python, Fast API, Pydantic, Pytest, Postgres, AWS[Lambda, APIGateway, Websockets, Cognito, CloudFormation, Elasticache and RDS], Argo Workflow. Terraform

• Built a container native workflow for data pipeline jobs using argo workflow engine.
• Developed a parser to classify data obtained from multiple compliance websites and identify the recommended action items.
• Data modeling in elastic search to support huge data. Optimized queries for efficiency in ElasticSearch.

Technology Stack - Python, Kubernetes, Argo Workflow, ElasticSearch and AWS

• Drove the re-architecture of Pharmeasy codebase from a monolithic architecture into microservices across different tech stacks - Python, Ruby and Java, with a strong focus on scalability and performance.
• Built asynchronous communication between services using RabbitMQ as a message broker.
• Devops tasks such as CI/CD pipelines in Jenkins and Ansible for Linux.
• Reduced infrastructure costs by 30%
• Logistics Application - Designed and architected the initial in house logistics product, which was the first of the service oriented architecture from the existing monolithic application in Pharmeasy backend.
• Retail and Warehouse Management System - Designed and developed inventory and warehouse product from requirement gathering to deployment following TDD standards.
• Medicine Data Master [Product Catalog] - Developed product catalog which included medicine master along with over the counter products.

Technology Stack: Python, Django, celery, Pytest, Ruby on Rails, Rspec, ReactJS, MySQL, Jenkins, Docker, Kubernetes and AWS services.

• Started as the first developer and built the team from scratch.
• Build, test and deploy a scalable highly available aggregator platform for access to professional services.
• Design and development of a mobile application on Android using Java.
• Built user facing websites using AngularJS.
• Optimize the build and deploy process using Elastic Bean Stalk.

Technology Stack: Python, Django, Django rest framework, celery, AWS EC2, EBS and RDS, redis and Postgres.

• SAP ABAP developer, Client - Cargill, domain - Retail

• Ksh[Korn Shell] script based automation of Network bonding status checks and reporting for 60,000+UNIX servers