shusant.sapkota

I am a certified data scientist, and data analyst working in the field of data engineering for more than five years. I have experience in developing ETL and providing Data Consultation for two of the largest broker insurance companies of the United States. I have experience of working on the data of largest insurance companies like Cigna, Aetna, Anthem, UHC, UMR, BCBS, Optum, and many more. I also have experience of working as a ETL developer for PetValu which is one of the largest pet e-commerce companies in Canada.

I have a cumulative experience of 3+ years (in Data Engineer, Data Scientist roles) with a strong focus on building data pipelines and warehouses, Big Data Analytics, ETL Processes, machine learning models, visualization, and business intelligence.

What I can do?

• Process your raw data and present it in a meaningful way – this could be either be output from a machine learning pipeline or BI dashboard or intermediate table for you to work with.
• Migrate your data in your desired output following data security protocols and optimization techniques. – Architect your data flow and it’s processing as per your business needs.
• Create new channels to update your existing systems with insights and KPIs derived from BI Projects.
• Suggest the best course of action for your data processes moving forward. Also, suggest new possible revenue sources or cost reductions.
• Document your existing system or that is developed by me translating technical concepts into understandable terms for non-technical stakeholders translating technical concepts.

I feel comfortable with most modern tech stack but following are the technologies I have used in the past for various projects:

LANGUAGE: Python, C, C++, Java, R, SQL

LIBRARIES: Pyspark, Kafka, Pandas, Numpy

WEB DEV: Django, Flask, Bootstrap, APIs, Authentication, FastAPI

ETL: AWS Glue, Talend, MuleSoft, Airflow, DBT

DATAWAREHOUSE: Snowflake, AWS Redshift, Google BigQuery, Azure Synapse

BI & ANALYTICS: Plotly-Dash, Streamlit, PowerBI, Tableau, Qlik, Data Studio, Quicksight

DATABASE: Amazon RDS, Postgres, MSSQL, MYSQL, SQLITE, MongoDB, DynamoDB, Aurora, Cassandra, Stored Procedures

CLOUD: AWS, VPC, IAM, EC2, Lambda, S3, Glue, Athena, Azure, GCP

VERSION CONTROL: GIT, GitHub, Bit Bucket, AWS CodeCommit

SCRAPPING: Selenium, Beautiful Soup

PROJECT MANAGEMENT: Jira, Redmine

CONTAINER: Docker

Want to discuss about your project? Please drop me a message.

Thank you so much for considering my profile.

Sincerely,

ShusantS