Hello,

I am interested in working on your project.
I have 11+ years of development experience with Python, Java, Javascript, Pandas, Excel, Reactjs, Nodejs, Django, Flask, Scala, Azure, MongoDB, JSON, PostgresSQL, MySQL, Redis, Apache Hadoop, MapReduce, Kafka, Pyspark Terraform, and have worked extensively with AWS services such as S3, Lambda, Glue, Redshift, EC2, SQS, Amplify, SAM, Aurora etc. Furthermore, I am well versed with Google services and technologies such as Google Sheets, Google Colab Notebook, Google Drive, etc. I have also developed CI/CD pipelines and used DevOps tools such as Jenkins, ensuring fast delivery of products and services to clients.
I have vast experience in the domain of web scrapping, ETL pipeline and web development, Data Engineering, and Warehousing. I have developed robust and efficient ETL pipelines and scrapping scripts for multiple clients. Furthermore, I deeply understand how to collect, process, and store Big data. With my skills and experience, I can develop products in the aforementioned domains that will generate value for clients and help them make significant progress in their ventures. Hence I believe that I possess the technical skills required to develop and maintain this project and that I will be able to develop this project as per the requirements of the client.
My experience with requested skills:
Python - 11 years
Java – 7 years
Excel - 7 years
AWS – 6 years
Azure – 5 years
PostgresSQL – 6 years
MySQL – 6 years
Redis - 6 years
Hadoop - 6 years
Kafka - 6 years
MapReduce - 6 years
Django - 6 years
Javascript – 6 years
Pandas - 5 years
Flask - 5 years
Nodejs - 5 years
Scala - 5 years
React/Native - 5 years
Angular - 4 years
JSON - 4 years
MongoDB - 4 years
Amazon Aurora - 5 years
Terraform - 4 years
REST APIs - 4 years
Git - 4 years
CI/CD Pipelines – 4 years
DevOps - 4 years
Jenkins – 4 years
I am expert in(but isn't limited to) in following tech stack:
Automation and Testing: Selenium, Robot, Splinter
Dockerization: Docker, Amazon ECS
Databases: MySQL, MongoDB, PostgreSQL, Amazon Aurora
Serverless: AWS Lambda, AWS Glue.
Data Lakes and Analytics: Amazon S3, AWS Glue, AWS Athena.
Web servers / Proxy: Nginx, Apache
OS: Ubuntu/CentOS, Windows Servers, Amazon Linux.
Message Broker: Redis, Celery/Rabbitmq
Libraries: Pandas/Numpy, Sqlalchemy, Dash/ploty
Tools: Jupyter notebook, Git, CodeCommit
Regards
Abhishek Jain
