varsha shinde

Total 6.5 years of Python Development Experience * 3+ years of experience in building Cloud-based solutions (python + AWS) * 3.1 years of experience in SIEM Product development. (python) 08/2019 to Till date Senior Software Engineer Morningstar India Pvt ltd: New-Mumbai Project Name: Datalake Project Description: Datalake is a central data repository that stores all actionable data in one place that lets users explore, experiment with data according to requirements. • Involved in Datalake from the initial phase of designing and development • Contribute to architect part of Datalake design. • Developed many Datalake services from scratch. • Worked on AWS services such as s3, Athena, glue catalog, glue jobs/crawler, ECS, EC2, lambda, CDK, IAM, SNS, SQS, DynamoDB, API gateway, redshift, CloudFront, CloudWatch, etc. • Worked on integration of 3rd party tool (Etleap, Greater expectation). • CI/CD Deployment using Jenkins, Docker and AWS cloud formation. • Worked on airflow-based data pipeline solution. 01/2019 to 8/2019 Senior Software Engineer Bank of America: Mumbai Project Name: Market Risk Description: We calculate Market Risk Exposures on daily basis, processed around 6-7K limits on a daily basis. This limit includes var calculation and sensitivities. • Working as developer in one of market risk product module. • Developing limit tread module to calculate exposures, depending on different risk factors. • Created index which would store daily processing per cob and it would help retrieve data faster and help in analyzing. 09/2015 to 01/2019 Software Engineer Control case International Pvt. Ltd. Project Name: NextGen Project Description: NextGen is SEIM base product that collects event data from various security logs within the organization, such as those for enterprise security controls, operating systems, and applications. • Worked on a tool that converts the event data into a format it understands, analyzes, generates alerts for any suspicious events, and creates reports on the events. Develop and maintain backend service. • Sensor-based backend service developed for performing various data level operations. • Worked on service used for maintaining signatures update, data formatting, and data pushing in the search engine (Elasticsearch). Skill: • Python • AWS Could Services • docker • Jenkins • Relational Database • Bash • Git • Jira