product engineering using cloud-native technologies and tools like AWS, Docker, Kubernetes, helm, terraform, Git and Golang

worked on a microservices architecture that handles order fulfillment journey for JIOMART application Worked on api integration for reliance fulfillment center within jiomartWorked on adding monitoring and alerts for one of the microservices using grafana and prometheus technologies used: Python, Sanic framework, Postgresql, MongoDB, Kafka, Docker, Kubernetes

January 2021 - Present (Retail Data visualization web application)Worked on migrating the ETL and scaling the data processing pipeline of the product. This involved working on distributed python using DASK (scalable python library) to achieve multiprocessing to improve performance under dynamic workloads with the help of Kubernetes and Docker. Also got hands-on experience with other GCP services like app engine, cloud run, cloud functions, cloud build.December 2019 - January 2021Worked closely with Product owners, Data science team, and in-house users to understand product requirements. Researching on data visualization with python using streamlit, pandas, NumPy, plotly, etc. libraries and presenting PoCsDesign and implement In-bound and Out-bound rest-APIs using Flask framework and MongoDB database for the product.Design and Implement ETL workflows. This includes using libraries and tech stack: pandas, NumPy, MongoDB, Postgresql, google cloud storage, celery, rabbitmq. This also involves scheduling tasks using the crontab module in celery, sending automated emails for task failures.August 2019 - December 2019 (Chatbot web application)Created new APIs and resolve bugs in APIs using Flask framework and MongoDB database.Worked on Integrating third-party APIs from Facebook, Whatsapp, slack, telegram, Microsoft teams, etc. into the chatbot using the rasa bot framework. Also used Twilio messaging and AWS storage bucket(boto3 client) APIs while developing the product.