R. Awatani

Hey,

I'm Rishabh

I am a seasoned software developer with a passion for data driven products.

PROJECTS
profile

SOMETHING PERSONAL

Some interesting facts about me. I love to read fiction, psychology and philosophy. The last fiction I read was "The Hobbit&quote; by J.R.R. Tolkien. I also take pleasure in cooking and specialize in Indian curries and beans. I also love to sing and make conversations with people about all sorts of things. Other than that, I cannot live without learning something new every day and constantly improve my understanding in the field of data analytics and engineering.


Professionally, I have been working as a Software Consultant and Developer for the past 4 years. I am currently working as a Social Impact Analyst at ZNotes where I am utilizing my software developemnt knowledge and data analytics skills to collect product usage data which is later analyzed to craft amazing user journeys.

Areas of Interest

Things I love working with and I am good at

Software Development

Working with NodeJS and Python microservices and deploying them using Docker

Data Processing

Building data processing pipelines with data governance and security best practices on GCP

Teaching & Presenting

I love creating impactful and engaging presentations for students and audiences using Canva ❤

Collaboration

I enjoy working with people from diverse backgrounds and cultures

Parallel Computing

Spark and Hadoop are the best thing ever happend to data

Data Analytics

Analyzing and visualizing data using Tableau, PowerBi, Matplotlib and MS Excel

Experience

People and things I have worked with

Projects

My side projects and some cool things I have worked on

Stocks Data Engineering and ML Pipeline

Stock data engineering pipeline using Dagster. This project involves collecting, cleaning, transforming and modeling stock time-series data using pandas, matplotlib, sklearn and hosting the generated ML model on GCP.

Self-Hosted Data Engineering Stack

Utilized Docker to orchestrate a self-hosted data engineering stack with Kafka, Spark, Airflow and Minio. Processed data in batch and realtime for Toronto Rentals. This project uncovered several implementational details of Spark and Airflow.