- Collaboratively extracted and transformed banking data with 200+ different data sources using Apache Spark, AWS S3, Kafka, Abinitio. - Successfully automated 95% of the tasks involving deployment releases using Jenkins pipelines and Docker containers by implementing CICD practices effectively.- Developed back-end functionalities in Python, to build and enhance Ops Automation applications created on Python Flask/Django frameworks.

Part of the initial team hire at Hevo's Global Solutions Engineering Team- Worked on complex data transformations , created Python scripts to automate data transformation from semi structured NoSQL DBs(MongoDB, DynamoDB) to structured data loaded to SQL DBs(Snowflake, Redshift etc.)- Worked on projects involving real-time streaming of 3 Billion+ monthly records of data. - Created ETL Data Quality Monitoring Engine from scratch to monitor the uniformity of source and destination data in real-time using Hevo’s in-house APIs.- Was the primary point of contact for 25+ clients including Unicorn startups. Generated annual company revenue of more than USD 70,000 in 6 months by working with clients to optimise their ETL process and build their data infrastructure.

- Worked on the development of a supermarket application with AngularJS- Created an E-Commerce Website with a vast dataset, using HTML,JavasScript,CSS by implementing an MVC Framework.