Extract the data from the pdf le and store this data into the database. Later visualize this data UI This project was running on falsk application le. via UI user can upload le into s3 bucket then lambda gets triggered and data get extracted from upload les and store it into RDS database.

Document digitization

• extracting data from pdf and convert it into different format such as JSON, XML, csv as per customer requirement
• building end to end pipelines
• building automation piplines for reporting

Design a database schema, Writing models, view/functionality for the application

● Hosing the application on AWS - ec2 windows instance, RDS.

The aim of the project is to predict the major incident before occurring.

● Data Collection from different databases

● Writing an ETL script using python.

● Creating an end to end data pipelines.

● Hosting a project in a cloud with Aws services like- S3, ec2, Lambda, Batch.

● Building a Docker image for AWS Batch

● Design a Memory management module using python for AWS lambda.

Setup the ELK Stack on the production system.

● Building a single and multimeric machine learning job using Elasticsearch, Logstach, and kibana.

Migrating in premises system/setup to cloud.

Migrating Ec2 instances, Dynamo DB tables, elastic cache from one account to another account(STG to PRD) using the AWScloud formation scripts.

● Cassandra Production deployment- Creating, configuring and adding the new Cassandra node into the existing ring

● Jira Administration - Create/update/modify Screens, Workflow, fields, and projects

● Chef installation on different AWS servers

● AWS Trust advisor: - Reduce the billing of the existing system