About Me

  • Experienced and dedicated AWS Data Engineer with 2.3 years of experience
  • in architecting & building highly scalable and available Infrastructure and
  • adapted at working in multiple domains such as ETL (Extract, Transform
  • and Load), Data Visualization (Tableau), Data warehousing, automated
  • infrastructure management and monitoring, security, database, automation
  • using multiple AWS services.

Work Experience

Data Engineer
- Tata Consultancy Services
  • * Joined as a Full-Time Employee at Tata Consultancy Services in July 2022.
  • * Currently working on enterprise data hub management for Motorola Solutions
  • * Played a key role in an Agile oriented project which involves extracting data from multiple sources such as GreenKeld, Oracle and storing a staging area (AWS S3), transformed by complex Queries (Redshift) and then connected to a visualization tool (Tableau) for converting into easily understandable formats with reports.
  • * GITHUB was used for version control. All development was completed in local environment and pushed into remote repositories.
  • * Maintained all pipelines for merging codes into different environments through JEN/INS which was connected to GITHUB.
  • * Development was done in Redshift through PostgreSQL to denormalize raw data which can be reused in different applications.
  • * Involved in Unit Testing all the code changes.
  • * Analyzing the root causes for repetitive break and thereby providing the permanent fix by customizing the code.
Jul 2022 - Present
Hyderabad

Education

B.Tech in Electrical and Electronics Engineering
Jul 2018 - Aug 2022
SASTRA UNIVERSITY

Projects

Enterprise Data Hub Management for Motorola Solutions
  • Developed and maintained pipelines from various sources into the staging area (S3) and then into the Redshift Data Warehouse. Managed tables, and maintained primary key and foreign key relationships.
  • Developed and maintained data pipelines from multiple source systems such as GreenKeld, RMCS, Salesforce, Dun & Bradstreet, Oracle DB, MySQL DB, etc., to the staging area (S3) and then to the Data Warehouse (Amazon Redshift).
  • Scheduled and monitored jobs with proper job dependencies, running all jobs on AWS EC2 instances.
  • Developed various Tableau views and dashboards, customizing them using filters, groups, sets, sorting, and actions to handle large volumes of data.
  • Utilized services and tools such as EC2, S3, Amazon Redshift, Qlik, SQL, and Tableau to build applications.
Jul 2022 - Present